Each directory has a `runtime.properties` file containing configuration properties for the specific Druid process corresponding to the directory (e.g., `historical`).
-`-Duser.timezone=UTC`: This sets the default timezone of the JVM to UTC. We always set this and do not test with other default timezones, so local timezones might work, but they also might uncover weird and interesting bugs. To issue queries in a non-UTC timezone, see [query granularities](../querying/granularities.md#period-granularities)
-`-Dfile.encoding=UTF-8` This is similar to timezone, we test assuming UTF-8. Local encodings might work, but they also might result in weird and interesting bugs.
-`-Djava.io.tmpdir=<a path>` Various parts of Druid use temporary files to interact with the file system. These files can become quite large. This means that systems that have small `/tmp` directories can cause problems for Druid. Therefore, set the JVM tmp directory to a location with ample space.
Also consider the following when configuring the JVM tmp directory:
- The temp directory should not be volatile tmpfs.
- This directory should also have good read and write speed.
- Avoid NFS mount.
- The `org.apache.druid.java.util.metrics.SysMonitor` requires execute privileges on files in `java.io.tmpdir`. If you are using the system monitor, do not set `java.io.tmpdir` to `noexec`.
-`-Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager` This allows log4j2 to handle logs for non-log4j2 components (like jetty) which use standard java logging.
|`druid.extensions.directory`|The root extension directory where user can put extensions related files. Druid will load extensions stored under this directory.|`extensions` (This is a relative path to Druid's working directory)|
|`druid.extensions.hadoopDependenciesDir`|The root hadoop dependencies directory where user can put hadoop related dependencies files. Druid will load the dependencies based on the hadoop coordinate specified in the hadoop index task.|`hadoop-dependencies` (This is a relative path to Druid's working directory|
|`druid.extensions.loadList`|A JSON array of extensions to load from extension directories by Druid. If it is not specified, its value will be `null` and Druid will load all the extensions under `druid.extensions.directory`. If its value is empty list `[]`, then no extensions will be loaded at all. It is also allowed to specify absolute path of other custom extensions not stored in the common extensions directory.|null|
|`druid.extensions.searchCurrentClassloader`|This is a boolean flag that determines if Druid will search the main classloader for extensions. It defaults to true but can be turned off if you have reason to not automatically add all modules on the classpath.|true|
|`druid.extensions.useExtensionClassloaderFirst`|This is a boolean flag that determines if Druid extensions should prefer loading classes from their own jars rather than jars bundled with Druid. If false, extensions must be compatible with classes provided by any jars bundled with Druid. If true, extensions may depend on conflicting versions.|false|
|`druid.extensions.hadoopContainerDruidClasspath`|Hadoop Indexing launches hadoop jobs and this configuration provides way to explicitly set the user classpath for the hadoop job. By default this is computed automatically by druid based on the druid process classpath and set of extensions. However, sometimes you might want to be explicit to resolve dependency conflicts between druid and hadoop.|null|
|`druid.extensions.addExtensionsToHadoopContainer`|Only applicable if `druid.extensions.hadoopContainerDruidClasspath` is provided. If set to true, then extensions specified in the loadList are added to hadoop container classpath. Note that when `druid.extensions.hadoopContainerDruidClasspath` is not provided then extensions are always added to hadoop container classpath.|false|
|`druid.modules.excludeList`|A JSON array of canonical class names (e.g., `"org.apache.druid.somepackage.SomeModule"`) of module classes which shouldn't be loaded, even if they are found in extensions specified by `druid.extensions.loadList`, or in the list of core modules specified to be loaded on a particular Druid process type. Useful when some useful extension contains some module, which shouldn't be loaded on some Druid process type because some dependencies of that module couldn't be satisfied.|[]|
|`druid.zk.service.pwd`|The [Password Provider](../operations/password-provider.md) or the string password to authenticate with ZooKeeper. This is an optional property.|none|
|`druid.zk.service.acl`|Boolean flag for whether or not to enable ACL security for ZooKeeper. If ACL is enabled, zNode creators will have all permissions.|`false`|
Druid interacts with ZK through a set of standard path configurations. We recommend just setting the base ZK path, but all ZK paths that Druid uses can be overwritten to absolute paths.
|`druid.zk.paths.servedSegmentsPath`|@Deprecated. Legacy path for where Druid processes announce their segments.|`${druid.zk.paths.base}/servedSegments`|
|`druid.zk.paths.indexer.statusPath`|Parent path for announcement of task statuses.|`${druid.zk.paths.indexer.base}/status`|
If `druid.zk.paths.base` and `druid.zk.paths.indexer.base` are both set, and none of the other `druid.zk.paths.*` or `druid.zk.paths.indexer.*` values are set, then the other properties will be evaluated relative to their respective `base`.
For example, if `druid.zk.paths.base` is set to `/druid1` and `druid.zk.paths.indexer.base` is set to `/druid2` then `druid.zk.paths.announcementsPath` will default to `/druid1/announcements` while `druid.zk.paths.indexer.announcementsPath` will default to `/druid2/announcements`.
[Exhibitor](https://github.com/Netflix/exhibitor/wiki) is a supervisor system for ZooKeeper.
Exhibitor can dynamically scale-up/down the cluster of ZooKeeper servers.
Druid can update self-owned list of ZooKeeper servers through Exhibitor without restarting.
That is, it allows Druid to keep the connections of Exhibitor-supervised ZooKeeper servers.
|Property|Description|Default|
|--------|-----------|-------|
|`druid.exhibitor.service.hosts`|A JSON array which contains the hostnames of Exhibitor instances. Please specify this property if you want to use Exhibitor-supervised cluster.|none|
|`druid.exhibitor.service.port`|The REST port used to connect to Exhibitor.|`8080`|
|`druid.exhibitor.service.restUriPath`|The path of the REST call used to get the server set.|`/exhibitor/v1/cluster/list`|
|`druid.exhibitor.service.useSsl`|Boolean flag for whether or not to use https protocol.|`false`|
and `druid.tlsPort` properties on each process. Please see `Configuration` section of individual processes to check the valid and default values for these ports.
Druid uses Jetty as an embedded web server. To learn more about TLS/SSL, certificates, and related concepts in Jetty, including explanations of the configuration settings below, see "Configuring SSL/TLS KeyStores" in the [Jetty Operations Guide](https://www.eclipse.org/jetty/documentation.php).
For information about TLS/SSL support in Java in general, see the [Java Secure Socket Extension (JSSE) Reference Guide](http://docs.oracle.com/javase/8/docs/technotes/guides/security/jsse/JSSERefGuide.html).
The [Java Cryptography Architecture
Standard Algorithm Name Documentation for JDK 8](http://docs.oracle.com/javase/8/docs/technotes/guides/security/StandardNames.html) lists all possible
values for the following properties, among others provided by the Java implementation.
Following table contains non-mandatory advanced configuration options, use caution.
|Property|Description|Default|Required|
|--------|-----------|-------|--------|
|`druid.server.https.keyManagerFactoryAlgorithm`|Algorithm to use for creating KeyManager, more details [here](https://docs.oracle.com/javase/7/docs/technotes/guides/security/jsse/JSSERefGuide.html#KeyManager).|`javax.net.ssl.KeyManagerFactory.getDefaultAlgorithm()`|no|
|`druid.server.https.includeCipherSuites`|List of cipher suite names to include. You can either use the exact cipher suite name or a regular expression.|Jetty's default include cipher list|no|
|`druid.server.https.excludeCipherSuites`|List of cipher suite names to exclude. You can either use the exact cipher suite name or a regular expression.|Jetty's default exclude cipher list|no|
|`druid.server.https.includeProtocols`|List of exact protocols names to include.|Jetty's default include protocol list|no|
|`druid.server.https.excludeProtocols`|List of exact protocols names to exclude.|Jetty's default exclude protocol list|no|
These properties apply to the SSLContext that will be provided to the internal HTTP client that Druid services use to communicate with each other. These properties require the `simple-client-sslcontext` extension to be loaded. Without it, Druid services will be unable to communicate with each other when TLS is enabled.
|Property|Description|Default|Required|
|--------|-----------|-------|--------|
|`druid.client.https.protocol`|SSL protocol to use.|`TLSv1.2`|no|
|`druid.client.https.trustStoreType`|The type of the key store where trusted root certificates are stored.|`java.security.KeyStore.getDefaultType()`|no|
|`druid.client.https.trustStorePath`|The file path or URL of the TLS/SSL Key store where trusted root certificates are stored.|none|yes|
|`druid.client.https.trustStoreAlgorithm`|Algorithm to be used by TrustManager to validate certificate chains|`javax.net.ssl.TrustManagerFactory.getDefaultAlgorithm()`|no|
|`druid.escalator.type`|String|Type of the Escalator that should be used for internal Druid communications. This Escalator must use an authentication scheme that is supported by an Authenticator in `druid.auth.authenticatorChain`.|"noop"|no|
|`druid.auth.authorizers`|JSON List of Strings|List of Authorizer type names |["allowAll"]|no|
|`druid.auth.unsecuredPaths`| List of Strings|List of paths for which security checks will not be performed. All requests to these paths will be allowed.|[]|no|
|`druid.auth.allowUnauthenticatedHttpOptions`|Boolean|If true, skip authentication checks for HTTP OPTIONS requests. This is needed for certain use cases, such as supporting CORS pre-flight requests. Note that disabling authentication checks for OPTIONS requests will allow unauthenticated users to determine what Druid endpoints are valid (by checking if the OPTIONS request returns a 200 instead of 404), so enabling this option may reveal information about server configuration, including information about what extensions are loaded (if those extensions add endpoints).|false|no|
|`druid.startup.logging.logProperties`|Log all properties on startup (from common.runtime.properties, runtime.properties, and the JVM command line).|false|
All processes that can serve queries can also log the query requests they see. Broker processes can additionally log the SQL requests (both from HTTP and JDBC) they see.
Note that you can enable sending all the HTTP requests to log by setting `org.apache.druid.jetty.RequestLog` to the `DEBUG` level. See [Logging](../configuration/logging.md) for more information.
|`druid.request.logging.dir`|Historical, Realtime and Broker processes maintain request logs of all of the requests they get (interaction is via POST, so normal request logs don’t generally capture information about the actual query), this specifies the directory to store the request logs in|none|
|`druid.request.logging.filePattern`|[Joda datetime format](http://www.joda.org/joda-time/apidocs/org/joda/time/format/DateTimeFormat.html) for each file|"yyyy-MM-dd'.log'"|
The format of request logs is TSV, one line per requests, with five fields: timestamp, remote\_addr, native\_query, query\_context, sql\_query.
For native JSON request, the `sql_query` field is empty. Example
For SQL query request, the `native_query` field is empty. Example
```
2019-01-14T10:00:00.000Z 127.0.0.1 {"sqlQuery/time":100,"sqlQuery/bytes":600,"success":true,"identity":"user1"} {"query":"SELECT page, COUNT(*) AS Edits FROM wikiticker WHERE __time BETWEEN TIMESTAMP '2015-09-12 00:00:00' AND TIMESTAMP '2015-09-13 00:00:00' GROUP BY page ORDER BY Edits DESC LIMIT 10","context":{"sqlQueryId":"c9d035a0-5ffd-4a79-a865-3ffdadbb5fdd","nativeQueryIds":"[490978e4-f5c7-4cf6-b174-346e63cf8863]"}}
The `slf4j` request logger logs every request using SLF4J. It serializes native queries into JSON in the log message regardless of the SLF4J format specification. Requests are logged under the class `org.apache.druid.server.log.LoggingRequestLogger`.
|`druid.request.logging.setMDC`|If you want to set MDC entries within the log entry, set this value to `true`. Your logging system must be configured to support MDC in order to format this data.|false|
|`druid.request.logging.setContextMDC`|Set to "true" to add the Druid query `context` to the MDC entries. Only applies when `setMDC` is `true`.|false|
|`druid.request.logging.mutedQueryTypes` | Query requests of these types are not logged. Query types are defined as string objects corresponding to the "queryType" value for the specified query in the Druid's [native JSON query API](http://druid.apache.org/docs/latest/querying/querying). Misspelled query types will be ignored. Example to ignore scan and timeBoundary queries: ["scan", "timeBoundary"]| []|
|`druid.audit.manager.maxPayloadSizeBytes`|The maximum size of audit payload to store in Druid's metadata store audit table. If the size of audit payload exceeds this value, the audit log would be stored with a message indicating that the payload was omitted instead. Setting `maxPayloadSizeBytes` to -1 (default value) disables this check, meaning Druid will always store audit payload regardless of it's size. Setting to any negative number other than `-1` is invalid. Human-readable format is supported, see [here](human-readable-byte.md). |-1|
|`druid.audit.manager.skipNullField`|If true, the audit payload stored in metadata store will exclude any field with null value. |false|
You can configure Druid processes to emit [metrics](../operations/metrics.md) regularly from a number of [monitors](#metrics-monitors) via [emitters](#metrics-emitters).
|`org.apache.druid.client.cache.CacheMonitor`|Emits metrics (to logs) about the segment results cache for Historical and Broker processes. Reports typical cache statistics include hits, misses, rates, and size (bytes and number of entries), as well as timeouts and and errors.|
|`org.apache.druid.java.util.metrics.SysMonitor`|Reports on various system activities and statuses using the [SIGAR library](https://github.com/hyperic/sigar). Requires execute privileges on files in `java.io.tmpdir`. Do not set `java.io.tmpdir` to `noexec` when using `SysMonitor`.|
|`org.apache.druid.server.emitter.HttpEmittingMonitor`|Reports internal metrics of `http` or `parametrized` emitter (see below). Must not be used with another emitter type. See the description of the metrics here: https://github.com/apache/druid/pull/4973.|
|`org.apache.druid.server.metrics.TaskCountStatsMonitor`|Reports how many ingestion tasks are currently running/pending/waiting and also the number of successful/failed tasks per emission period.|
|`org.apache.druid.server.metrics.TaskSlotCountStatsMonitor`|Reports metrics about task slot usage per emission period.|
|`org.apache.druid.server.metrics.WorkerTaskCountStatsMonitor`|Reports how many ingestion tasks are currently running/pending/waiting, the number of successful/failed tasks, and metrics about task slot usage for the reporting worker, per emission period. Only supported by middleManager node types.|
|`druid.emitter.logging.loggerClass`|Choices: HttpPostEmitter, LoggingEmitter, NoopServiceEmitter, ServiceEmitter. The class used for logging.|LoggingEmitter|
|`druid.emitter.logging.logLevel`|Choices: debug, info, warn, error. The log level at which message are logged.|info|
|`druid.emitter.http.basicAuthentication`|[Password Provider](../operations/password-provider.md) for providing Login and password for authentication in "login:password" form, e.g., `druid.emitter.http.basicAuthentication=admin:adminpassword` uses Default Password Provider which allows plain text passwords.|not specified = no authentication|
|`druid.emitter.http.flushTimeOut`|The timeout after which an event should be sent to the endpoint, even if internal buffers are not filled, in milliseconds.|not specified = no timeout|
|`druid.emitter.http.batchingStrategy`|The strategy of how the batch is formatted. "ARRAY" means `[event1,event2]`, "NEWLINES" means `event1\nevent2`, ONLY_EVENTS means `event1event2`.|ARRAY|
|`druid.emitter.http.batchQueueSizeLimit`|The maximum number of batches in emitter queue, if there are problems with emitting.|the maximum of (2) or (10% of the JVM heap size divided by 5MiB)|
|`druid.emitter.http.minHttpTimeoutMillis`|If the speed of filling batches imposes timeout smaller than that, not even trying to send batch to endpoint, because it will likely fail, not being able to send the data that fast. Configure this depending based on emitter/successfulSending/minTimeMs metric. Reasonable values are 10ms..100ms.|0|
|`druid.emitter.http.recipientBaseUrl`|The base URL to emit messages to. Druid will POST JSON to be consumed at the HTTP endpoint specified by this property.|none, required config|
By default, when sending events to a TLS-enabled receiver, the HTTP Emitter uses an SSLContext obtained from the process described at [Druid's internal communication over TLS](../operations/tls-support.md), i.e., the same
In some use cases it may be desirable to have the HTTP Emitter use its own separate truststore configuration. For example, there may be organizational policies that prevent the TLS-enabled metrics receiver's certificate from being added to the same truststore used by Druid's internal HTTP client.
|`druid.emitter.http.ssl.useDefaultJavaContext`|If set to true, the HttpEmitter will use `SSLContext.getDefault()`, the default Java SSLContext, and all other properties below are ignored.|false|
|`druid.emitter.http.ssl.trustStorePath`|The file path or URL of the TLS/SSL Key store where trusted root certificates are stored. If this is unspecified, the HTTP Emitter will use the same SSLContext as Druid's internal HTTP client, as described in the beginning of this section, and all other properties below are ignored.|null|
|`druid.emitter.http.ssl.trustStoreType`|The type of the key store where trusted root certificates are stored.|`java.security.KeyStore.getDefaultType()`|
|`druid.emitter.http.ssl.trustStoreAlgorithm`|Algorithm to be used by TrustManager to validate certificate chains|`javax.net.ssl.TrustManagerFactory.getDefaultAlgorithm()`|
The parametrized emitter takes the same configs as the [`http` emitter](#http-emitter-module) using the prefix `druid.emitter.parametrized.httpEmitting.`.
|`druid.emitter.parametrized.recipientBaseUrlPattern`|The URL pattern to send an event to, based on the event's feed. E.g., `http://foo.bar/{feed}`, that will send event to `http://foo.bar/metrics` if the event's feed is "metrics".|none, required config|
To use graphite as emitter set `druid.emitter=graphite`. For configuration details, see [Graphite emitter](../development/extensions-contrib/graphite.md) for the Graphite emitter Druid extension.
These properties specify the JDBC connection and other configuration around the metadata storage. The only processes that connect to the metadata storage with these properties are the [Coordinator](../design/coordinator.md) and [Overlord](../design/overlord.md).
|`druid.metadata.storage.connector.password`|The [Password Provider](../operations/password-provider.md) or String password used to connect with.|none|
|`druid.metadata.storage.tables.dataSource`|The table to use to look for dataSources which created by [Kafka Indexing Service](../development/extensions-core/kafka-ingestion.md).|druid_dataSource|
|`druid.storage.disableAcl`|Boolean flag for ACL. If this is set to `false`, the full control would be granted to the bucket owner. This may require to set additional permissions. See [S3 permissions settings](../development/extensions-core/s3.md#s3-permissions-settings).|false|
|`druid.storage.sse.type`|Server-side encryption type. Should be one of `s3`, `kms`, and `custom`. See the below [Server-side encryption section](../development/extensions-core/s3.md#server-side-encryption) for more details.|None|
|`druid.storage.sse.kms.keyId`|AWS KMS key ID. This is used only when `druid.storage.sse.type` is `kms` and can be empty to use the default key ID.|None|
|`druid.storage.sse.custom.base64EncodedKey`|Base64-encoded key. Should be specified if `druid.storage.sse.type` is `custom`.|None|
|`druid.storage.useS3aSchema`|If true, use the "s3a" filesystem when using Hadoop-based ingestion. If false, the "s3n" filesystem will be used. Only affects Hadoop-based ingestion.|false|
the [HDFS input source](../ingestion/native-batch-input-source.md#hdfs-input-source) and the [HDFS firehose](../ingestion/native-batch-firehose.md#hdfsfirehose).
the [HTTP input source](../ingestion/native-batch-input-source.md#http-input-source) and the [HTTP firehose](../ingestion/native-batch-firehose.md#httpfirehose).
|`druid.access.jdbc.enforceAllowedProperties`|Boolean|When true, Druid applies `druid.access.jdbc.allowedProperties` to JDBC connections starting with `jdbc:postgresql:`, `jdbc:mysql:`, or `jdbc:mariadb:`. When false, Druid allows any kind of JDBC connections without JDBC property validation. This config is for backward compatibility especially during upgrades since enforcing allow list can break existing ingestion jobs or lookups based on JDBC. This config is deprecated and will be removed in a future release.|true|
|`druid.access.jdbc.allowedProperties`|List of JDBC properties|Defines a list of allowed JDBC properties. Druid always enforces the list for all JDBC connections starting with `jdbc:postgresql:`, `jdbc:mysql:`, and `jdbc:mariadb:` if `druid.access.jdbc.enforceAllowedProperties` is set to true.<br/><br/>This option is tested against MySQL connector 5.1.48, MariaDB connector 2.7.4, and PostgreSQL connector 42.2.14. Other connector versions might not work.|["useSSL", "requireSSL", "ssl", "sslmode"]|
|`druid.access.jdbc.allowUnknownJdbcUrlFormat`|Boolean|When false, Druid only accepts JDBC connections starting with `jdbc:postgresql:` or `jdbc:mysql:`. When true, Druid allows JDBC connections to any kind of database, but only enforces `druid.access.jdbc.allowedProperties` for PostgreSQL and MySQL/MariaDB.|true|
You can use the `druid.indexer` configuration to set a [long-term storage](#log-long-term-storage) location for task log files, and to set a [retention policy](#log-retention-policy).
|`druid.indexer.logs.disableAcl`|Boolean flag for ACL. If this is set to `false`, the full control would be granted to the bucket owner. If the task logs bucket is the same as the deep storage (S3) bucket, then the value of this property will need to be set to true if druid.storage.disableAcl has been set to true.|false|
|`druid.indexer.logs.kill.enabled`|Boolean value for whether to enable deletion of old task logs. If set to true, Overlord will submit kill tasks periodically based on `druid.indexer.logs.kill.delay` specified, which will delete task logs from the log directory as well as tasks and tasklogs table entries in metadata storage except for tasks created in the last `druid.indexer.logs.kill.durationToRetain` period. |false|
|`druid.indexer.logs.kill.durationToRetain`| Required if kill is enabled. In milliseconds, task logs and entries in task-related metadata storage tables to be retained created in last x milliseconds. |None|
|`druid.indexer.logs.kill.initialDelay`| Optional. Number of milliseconds after Overlord start when first auto kill is run. |random value less than 300000 (5 mins)|
|`druid.indexer.logs.kill.delay`|Optional. Number of milliseconds of delay between successive executions of auto kill run. |21600000 (6 hours)|
You can configure Druid API error responses to hide internal information like the Druid class name, stack trace, thread name, servlet name, code, line/column number, host, or IP address.
|Property|Description|Default|
|--------|-----------|-------|
|`druid.server.http.showDetailedJettyErrors`|When set to true, any error from the Jetty layer / Jetty filter includes the following fields in the JSON response: `servlet`, `message`, `url`, `status`, and `cause`, if it exists. When set to false, the JSON response only includes `message`, `url`, and `status`. The field values remain unchanged.|true|
|`druid.server.http.errorResponseTransform.strategy`|Error response transform strategy. The strategy controls how Druid transforms error responses from Druid services. When unset or set to `none`, Druid leaves error responses unchanged.|`none`|
You can use an error response transform strategy to transform error responses from within Druid services to hide internal information.
When you specify an error response transform strategy other than `none`, Druid transforms the error responses from Druid services as follows:
- For any query API that fails in the Router service, Druid sets the fields `errorClass` and `host` to null. Druid applies the transformation strategy to the `errorMessage` field.
- For any SQL query API that fails, for example `POST /druid/v2/sql/...`, Druid sets the fields `errorClass` and `host` to null. Druid applies the transformation strategy to the `errorMessage` field.
- For any JDBC related exceptions, Druid will turn all checked exceptions into `QueryInterruptedException` otherwise druid will attempt to keep the exception as the same type. For example if the original exception isn't owned by Druid it will become `QueryInterruptedException`. Druid applies the transformation strategy to the `errorMessage` field.
In this mode, Druid validates the error responses from underlying services against a list of regular expressions. Only error messages that match a configured regular expression are returned. To enable this strategy, set `druid.server.http.errorResponseTransform.strategy` to `allowedRegex`.
|`druid.server.http.errorResponseTransform.allowedRegex`|The list of regular expressions Druid uses to validate error messages. If the error message matches any of the regular expressions, then Druid includes it in the response unchanged. If the error message does not match any of the regular expressions, Druid replaces the error message with null or with a default message depending on the type of underlying Exception. |`[]`|
For example, consider the following error response:
```
{"error":"Plan validation failed","errorMessage":"org.apache.calcite.runtime.CalciteContextException: From line 1, column 15 to line 1, column 38: Object 'nonexistent-datasource' not found","errorClass":"org.apache.calcite.tools.ValidationException","host":null}
On the other hand, if `druid.server.http.errorResponseTransform.allowedRegex` is set to `[".*CalciteContextException.*"]` then Druid transforms the query error response to the following:
{"error":"Plan validation failed","errorMessage":"org.apache.calcite.runtime.CalciteContextException: From line 1, column 15 to line 1, column 38: Object 'nonexistent-datasource' not found","errorClass":null,"host":null}
This config is used to find the [Overlord](../design/overlord.md) using Curator service discovery. Only required if you are actually running an Overlord.
|`druid.selectors.indexing.serviceName`|The druid.service name of the Overlord process. To start the Overlord with a different name, set it with this property. |druid/overlord|
This config is used to find the [Coordinator](../design/coordinator.md) using Curator service discovery. This config is used by the realtime indexing processes to get information about the segments loaded in the cluster.
|`druid.selectors.coordinator.serviceName`|The druid.service name of the Coordinator process. To start the Coordinator with a different name, set it with this property. |druid/coordinator|
You can configure how to announce and unannounce Znodes in ZooKeeper (using Curator). For normal operations you do not need to override any of these configs.
|`druid.announcer.skipDimensionsAndMetrics`|Skip Dimensions and Metrics list from segment announcements. NOTE: Enabling this will also remove the dimensions and metrics list from Coordinator and Broker endpoints.|false|
|`druid.announcer.skipLoadSpec`|Skip segment LoadSpec from segment announcements. NOTE: Enabling this will also remove the loadspec from Coordinator and Broker endpoints.|false|
|`druid.javascript.enabled`|Set to "true" to enable JavaScript functionality. This affects the JavaScript parser, filter, extractionFn, aggregator, post-aggregator, router strategy, and worker selection strategy.|false|
> JavaScript-based functionality is disabled by default. Please refer to the Druid [JavaScript programming guide](../development/javascript.md) for guidelines about using Druid's JavaScript functionality, including instructions on how to enable it.
To keep the old format set the system-wide property `druid.indexing.doubleStorage=float`.
You can also use floatSum, floatMin and floatMax to use 32-bit float representation.
Support for 64-bit floating point columns was released in Druid 0.11.0, so if you use this feature then older versions of Druid will not be able to read your data segments.
Prior to version 0.13.0, Druid string columns treated `''` and `null` values as interchangeable, and numeric columns were unable to represent `null` values, coercing `null` to `0`. Druid 0.13.0 introduced a mode which enabled SQL compatible null handling, allowing string columns to distinguish empty strings from nulls, and numeric columns to contain null rows.
|Property|Description|Default|
|---|---|---|
|`druid.generic.useDefaultValueForNull`|When set to `true`, `null` values will be stored as `''` for string columns and `0` for numeric columns. Set to `false` to store and query data in SQL compatible mode.|`true`|
|`druid.generic.ignoreNullsForStringCardinality`|When set to `true`, `null` values will be ignored for the built-in cardinality aggregator over string columns. Set to `false` to include `null` values while estimating cardinality of only string columns using the built-in cardinality aggregator. This setting takes effect only when `druid.generic.useDefaultValueForNull` is set to `true` and is ignored in SQL compatibility mode. Additionally, empty strings (equivalent to null) are not counted when this is set to `true`. |`false`|
This mode does have a storage size and query performance cost, see [segment documentation](../design/segments.md#sql-compatible-null-handling) for more details.
All Druid components can communicate with each other over HTTP.
|Property|Description|Default|
|--------|-----------|-------|
|`druid.global.http.numConnections`|Size of connection pool per destination URL. If there are more HTTP requests than this number that all need to speak to the same URL, then they will queue up.|`20`|
|`druid.global.http.eagerInitialization`|Indicates that http connections should be eagerly initialized. If set to true, `numConnections` connections are created upon initialization|`true`|
|`druid.global.http.compressionCodec`|Compression codec to communicate with others. May be "gzip" or "identity".|`gzip`|
|`druid.global.http.readTimeout`|The timeout for data reads.|`PT15M`|
|`druid.global.http.unusedConnectionTimeout`|The timeout for idle connections in connection pool. The connection in the pool will be closed after this timeout and a new one will be established. This timeout should be less than `druid.global.http.readTimeout`. Set this timeout = ~90% of `druid.global.http.readTimeout`|`PT4M`|
|`druid.global.http.numMaxThreads`|Maximum number of I/O worker threads|`max(10, ((number of cores * 17) / 16 + 2) + 30)`|
This section contains the configuration options for the processes that reside on Master servers (Coordinators and Overlords) in the suggested [three-server configuration](../design/processes.md#server-types).
|`druid.host`|The host for the current process. This is used to advertise the current processes location as reachable from another process and should generally be specified such that `http://${druid.host}/` could actually talk to this process|InetAddress.getLocalHost().getCanonicalHostName()|
|`druid.bindOnHost`|Indicating whether the process's internal jetty server bind on `druid.host`. Default is false, which means binding to all interfaces.|false|
|`druid.tlsPort`|TLS port for HTTPS connector, if [druid.enableTlsPort](../operations/tls-support.md) is set then this config will be used. If `druid.host` contains port then that port will be ignored. This should be a non-negative Integer.|8281|
|`druid.service`|The name of the service. This is used as a dimension when emitting metrics and alerts to differentiate between the various services|druid/coordinator|
|`druid.coordinator.period`|The run period for the Coordinator. The Coordinator operates by maintaining the current state of the world in memory and periodically looking at the set of "used" segments and segments being served to make decisions about whether any changes need to be made to the data topology. This property sets the delay between each of these runs.|PT60S|
|`druid.coordinator.period.indexingPeriod`|How often to send compact/merge/conversion tasks to the indexing service. It's recommended to be longer than `druid.manager.segments.pollDuration`|PT1800S (30 mins)|
|`druid.coordinator.startDelay`|The operation of the Coordinator works on the assumption that it has an up-to-date view of the state of the world when it runs, the current ZK interaction code, however, is written in a way that doesn’t allow the Coordinator to know for a fact that it’s done loading the current state of the world. This delay is a hack to give it enough time to believe that it has all the data.|PT300S|
|`druid.coordinator.kill.pendingSegments.on`|Boolean flag for whether or not the Coordinator clean up old entries in the `pendingSegments` table of metadata store. If set to true, Coordinator will check the created time of most recently complete task. If it doesn't exist, it finds the created time of the earliest running/pending/waiting tasks. Once the created time is found, then for all dataSources not in the `killPendingSegmentsSkipList` (see [Dynamic configuration](#dynamic-configuration)), Coordinator will ask the Overlord to clean up the entries 1 day or more older than the found created time in the `pendingSegments` table. This will be done periodically based on `druid.coordinator.period.indexingPeriod` specified.|true|
|`druid.coordinator.kill.on`|Boolean flag for whether or not the Coordinator should submit kill task for unused segments, that is, hard delete them from metadata store and deep storage. If set to true, then for all whitelisted dataSources (or optionally all), Coordinator will submit tasks periodically based on `period` specified. These kill tasks will delete all unused segments except for the last `durationToRetain` period. A whitelist can be set via dynamic configuration `killDataSourceWhitelist` described later.|true|
|`druid.coordinator.kill.period`|How often to send kill tasks to the indexing service. Value must be greater than `druid.coordinator.period.indexingPeriod`. Only applies if kill is turned on.|P1D (1 Day)|
|`druid.coordinator.kill.durationToRetain`|Only applies if you set `druid.coordinator.kill.on` to `true`. This value is ignored if `druid.coordinator.kill.ignoreDurationToRetain` is `true`. Valid configurations must be a ISO8601 period. Druid will not kill unused segments whose interval end date is beyond `now - durationToRetain`. `durationToRetain` can be a negative ISO8601 period, which would result in `now - durationToRetain` to be in the future.|`P90D`|
|`druid.coordinator.kill.ignoreDurationToRetain`|A way to override `druid.coordinator.kill.durationToRetain` and tell the coordinator that you do not care about the end date of unused segment intervals when it comes to killing them. If true, the coordinator considers all unused segments as eligible to be killed.|false|
|`druid.coordinator.kill.maxSegments`|Kill at most n unused segments per kill task submission, must be greater than 0. Only applies and MUST be specified if kill is turned on.|100|
|`druid.coordinator.balancer.strategy`|Specify the type of balancing strategy for the coordinator to use to distribute segments among the historicals. `cachingCost` is logically equivalent to `cost` but is more CPU-efficient on large clusters. `diskNormalized` weights the costs according to the servers' disk usage ratios - there are known issues with this strategy distributing segments unevenly across the cluster. `random` distributes segments among services randomly.|`cost`|
|`druid.coordinator.balancer.cachingCost.awaitInitialization`|Whether to wait for segment view initialization before creating the `cachingCost` balancing strategy. This property is enabled only when `druid.coordinator.balancer.strategy` is `cachingCost`. If set to 'true', the Coordinator will not start to assign segments, until the segment view is initialized. If set to 'false', the Coordinator will fallback to use the `cost` balancing strategy only if the segment view is not initialized yet. Notes, it may take much time to wait for the initialization since the `cachingCost` balancing strategy involves much computing to build itself.|false|
|`druid.coordinator.loadqueuepeon.repeatDelay`|The start and repeat delay for the loadqueuepeon, which manages the load and drop of segments.|PT0.050S (50 ms)|
|`druid.coordinator.asOverlord.enabled`|Boolean value for whether this Coordinator process should act like an Overlord as well. This configuration allows users to simplify a druid cluster by not having to deploy any standalone Overlord processes. If set to true, then Overlord console is available at `http://coordinator-host:port/console.html` and be sure to set `druid.coordinator.asOverlord.overlordService` also. See next.|false|
|`druid.coordinator.asOverlord.overlordService`| Required, if `druid.coordinator.asOverlord.enabled` is `true`. This must be same value as `druid.service` on standalone Overlord processes and `druid.selectors.indexing.serviceName` on Middle Managers.|NULL|
|`druid.coordinator.period.metadataStoreManagementPeriod`|How often to run metadata management tasks in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) duration format. |No | `PT1H`|
|`druid.coordinator.kill.supervisor.on`| Boolean value for whether to enable automatic deletion of terminated supervisors. If set to true, Coordinator will periodically remove terminated supervisors from the supervisor table in metadata storage.| No | True|
|`druid.coordinator.kill.supervisor.period`| How often to do automatic deletion of terminated supervisor in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) duration format. Value must be equal to or greater than `druid.coordinator.period.metadataStoreManagementPeriod`. Only applies if `druid.coordinator.kill.supervisor.on` is set to "True".| No| `P1D`|
|`druid.coordinator.kill.supervisor.durationToRetain`| Duration of terminated supervisor to be retained from created time in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) duration format. Only applies if `druid.coordinator.kill.supervisor.on` is set to "True".| Yes if `druid.coordinator.kill.supervisor.on` is set to "True".| `P90D`|
|`druid.coordinator.kill.audit.on`| Boolean value for whether to enable automatic deletion of audit logs. If set to true, Coordinator will periodically remove audit logs from the audit table entries in metadata storage.| No | True|
|`druid.coordinator.kill.audit.period`| How often to do automatic deletion of audit logs in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) duration format. Value must be equal to or greater than `druid.coordinator.period.metadataStoreManagementPeriod`. Only applies if `druid.coordinator.kill.audit.on` is set to "True".| No| `P1D`|
|`druid.coordinator.kill.audit.durationToRetain`| Duration of audit logs to be retained from created time in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) duration format. Only applies if `druid.coordinator.kill.audit.on` is set to "True".| Yes if `druid.coordinator.kill.audit.on` is set to "True".| `P90D`|
|`druid.coordinator.kill.compaction.on`| Boolean value for whether to enable automatic deletion of compaction configurations. If set to true, Coordinator will periodically remove compaction configuration of inactive datasource (datasource with no used and unused segments) from the config table in metadata storage. | No | False|
|`druid.coordinator.kill.compaction.period`| How often to do automatic deletion of compaction configurations in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) duration format. Value must be equal to or greater than `druid.coordinator.period.metadataStoreManagementPeriod`. Only applies if `druid.coordinator.kill.compaction.on` is set to "True".| No| `P1D`|
|`druid.coordinator.kill.rule.on`| Boolean value for whether to enable automatic deletion of rules. If set to true, Coordinator will periodically remove rules of inactive datasource (datasource with no used and unused segments) from the rule table in metadata storage.| No | True|
|`druid.coordinator.kill.rule.period`| How often to do automatic deletion of rules in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) duration format. Value must be equal to or greater than `druid.coordinator.period.metadataStoreManagementPeriod`. Only applies if `druid.coordinator.kill.rule.on` is set to "True".| No| `P1D`|
|`druid.coordinator.kill.rule.durationToRetain`| Duration of rules to be retained from created time in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) duration format. Only applies if `druid.coordinator.kill.rule.on` is set to "True".| Yes if `druid.coordinator.kill.rule.on` is set to "True".| `P90D`|
|`druid.coordinator.kill.datasource.on`| Boolean value for whether to enable automatic deletion of datasource metadata (Note: datasource metadata only exists for datasource created from supervisor). If set to true, Coordinator will periodically remove datasource metadata of terminated supervisor from the datasource table in metadata storage. | No | True|
|`druid.coordinator.kill.datasource.period`| How often to do automatic deletion of datasource metadata in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) duration format. Value must be equal to or greater than `druid.coordinator.period.metadataStoreManagementPeriod`. Only applies if `druid.coordinator.kill.datasource.on` is set to "True".| No| `P1D`|
|`druid.coordinator.kill.datasource.durationToRetain`| Duration of datasource metadata to be retained from created time in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) duration format. Only applies if `druid.coordinator.kill.datasource.on` is set to "True".| Yes if `druid.coordinator.kill.datasource.on` is set to "True".| `P90D`|
|`druid.coordinator.loadqueuepeon.type`|curator or http|Whether to use "http" or "curator" implementation to assign segment loads/drops to historical|curator|
|`druid.coordinator.segment.awaitInitializationOnStart`|true or false|Whether the Coordinator will wait for its view of segments to fully initialize before starting up. If set to 'true', the Coordinator's HTTP server will not start up, and the Coordinator will not announce itself as available, until the server view is initialized.|true|
|`druid.coordinator.loadqueuepeon.http.batchSize`|Number of segment load/drop requests to batch in one HTTP request. Note that it must be smaller than `druid.segmentCache.numLoadingThreads` config on Historical process.|1|
|`druid.manager.segments.pollDuration`|The duration between polls the Coordinator does for updates to the set of active segments. Generally defines the amount of lag time it can take for the Coordinator to notice new segments.|PT1M|
|`druid.manager.rules.pollDuration`|The duration between polls the Coordinator does for updates to the set of active rules. Generally defines the amount of lag time it can take for the Coordinator to notice rules.|PT1M|
The Coordinator has dynamic configuration to change certain behavior on the fly. The Coordinator uses a JSON spec object from the Druid [metadata storage](../dependencies/metadata-storage.md) config table. This object is detailed below:
It is recommended that you use the Coordinator Console to configure these parameters. However, if you need to do it via HTTP, the JSON object can be submitted to the Coordinator via a POST request at:
|`millisToWaitBeforeDeleting`|How long does the Coordinator need to be a leader before it can start marking overshadowed segments as unused in metadata storage.|900000 (15 mins)|
|`useBatchedSegmentSampler`|Boolean flag for whether or not we should use the Reservoir Sampling with a reservoir of size k instead of fixed size 1 to pick segments to move. This option can be enabled to speed up segment balancing process, especially if there are huge number of segments in the cluster or if there are too many segments to move.|false|
|`percentOfSegmentsToConsiderPerMove`|Deprecated. This will eventually be phased out by the batched segment sampler. You can enable the batched segment sampler now by setting the dynamic Coordinator config, `useBatchedSegmentSampler`, to `true`. Note that if you choose to enable the batched segment sampler, `percentOfSegmentsToConsiderPerMove` will no longer have any effect on balancing. If `useBatchedSegmentSampler == false`, this config defines the percentage of the total number of segments in the cluster that are considered every time a segment needs to be selected for a move. Druid orders servers by available capacity ascending (the least available capacity first) and then iterates over the servers. For each server, Druid iterates over the segments on the server, considering them for moving. The default config of 100% means that every segment on every server is a candidate to be moved. This should make sense for most small to medium-sized clusters. However, an admin may find it preferable to drop this value lower if they don't think that it is worthwhile to consider every single segment in the cluster each time it is looking for a segment to move.|100|
|`balancerComputeThreads`|Thread pool size for computing moving cost of segments in segment balancing. Consider increasing this if you have a lot of segments and moving segments starts to get stuck.|1|
|`killDataSourceWhitelist`|List of specific data sources for which kill tasks are sent if property `druid.coordinator.kill.on` is true. This can be a list of comma-separated data source names or a JSON array.|none|
|`killPendingSegmentsSkipList`|List of data sources for which pendingSegments are _NOT_ cleaned up if property `druid.coordinator.kill.pendingSegments.on` is true. This can be a list of comma-separated data sources or a JSON array.|none|
|`maxSegmentsInNodeLoadingQueue`|The maximum number of segments that could be queued for loading to any given server. This parameter could be used to speed up segments loading process, especially if there are "slow" nodes in the cluster (with low loading speed) or if too much segments scheduled to be replicated to some particular node (faster loading could be preferred to better segments distribution). Desired value depends on segments loading speed, acceptable replication time and number of nodes. Value 1000 could be a start point for a rather big cluster. Default value is 100. |100|
|`decommissioningNodes`| List of historical servers to 'decommission'. Coordinator will not assign new segments to 'decommissioning' servers, and segments will be moved away from them to be placed on non-decommissioning servers at the maximum rate specified by `decommissioningMaxPercentOfMaxSegmentsToMove`.|none|
|`decommissioningMaxPercentOfMaxSegmentsToMove`| The maximum number of segments that may be moved away from 'decommissioning' servers to non-decommissioning (that is, active) servers during one Coordinator run. This value is relative to the total maximum segment movements allowed during one run which is determined by `maxSegmentsToMove`. If `decommissioningMaxPercentOfMaxSegmentsToMove` is 0, segments will neither be moved from _or to_ 'decommissioning' servers, effectively putting them in a sort of "maintenance" mode that will not participate in balancing or assignment by load rules. Decommissioning can also become stalled if there are no available active servers to place the segments. By leveraging the maximum percent of decommissioning segment movements, an operator can prevent active servers from overload by prioritizing balancing, or decrease decommissioning time instead. The value should be between 0 and 100.|70|
|`pauseCoordination`| Boolean flag for whether or not the coordinator should execute its various duties of coordinating the cluster. Setting this to true essentially pauses all coordination work while allowing the API to remain up. Duties that are paused include all classes that implement the `CoordinatorDuty` Interface. Such duties include: Segment balancing, Segment compaction, Emission of metrics controlled by the dynamic coordinator config `emitBalancingStats`, Submitting kill tasks for unused segments (if enabled), Logging of used segments in the cluster, Marking of newly unused or overshadowed segments, Matching and execution of load/drop rules for used segments, Unloading segments that are no longer marked as used from Historical servers. An example of when an admin may want to pause coordination would be if they are doing deep storage maintenance on HDFS Name Nodes with downtime and don't want the coordinator to be directing Historical Nodes to hit the Name Node with API requests until maintenance is done and the deep store is declared healthy for use again. |false|
|`replicateAfterLoadTimeout`| Boolean flag for whether or not additional replication is needed for segments that have failed to load due to the expiry of `druid.coordinator.load.timeout`. If this is set to true, the coordinator will attempt to replicate the failed segment on a different historical server. This helps improve the segment availability if there are a few slow historicals in the cluster. However, the slow historical may still load the segment later and the coordinator may issue drop requests if the segment is over-replicated.|false|
|`maxNonPrimaryReplicantsToLoad`|This is the maximum number of non-primary segment replicants to load per Coordination run. This number can be set to put a hard upper limit on the number of replicants loaded. It is a tool that can help prevent long delays in new data being available for query after events that require many non-primary replicants to be loaded by the cluster; such as a Historical node disconnecting from the cluster. The default value essentially means there is no limit on the number of replicants loaded per coordination cycle. If you want to use a non-default value for this config, you may want to start with it being `~20%` of the number of segments found on your Historical server with the most segments. You can use the Druid metric, `coordinator/time` with the filter `duty=org.apache.druid.server.coordinator.duty.RunRules` to see how different values of this config impact your Coordinator execution time.|`Integer.MAX_VALUE`|
default value of interval can be specified by setting `druid.audit.manager.auditHistoryMillis` (1 week if not configured) in Coordinator runtime.properties
|`druid.manager.lookups.hostDeleteTimeout`|How long to wait for a `DELETE` request to a particular process before considering the `DELETE` a failure|PT1S|
|`druid.manager.lookups.hostUpdateTimeout`|How long to wait for a `POST` request to a particular process before considering the `POST` a failure|PT10S|
|`druid.manager.lookups.threadPoolSize`|How many processes can be managed concurrently (concurrent POST and DELETE requests). Requests this limit will wait in a queue until a slot becomes available.|10|
|`inputSegmentSizeBytes`|Maximum number of total segment bytes processed per compaction task. Since a time chunk must be processed in its entirety, if the segments for a particular time chunk have a total size in bytes greater than this parameter, compaction will not run for that time chunk. Because each compaction task runs with a single thread, setting this value too far above 1–2GB will result in compaction tasks taking an excessive amount of time.|no (default = Long.MAX_VALUE)|
|`skipOffsetFromLatest`|The offset for searching segments to be compacted in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) duration format. Strongly recommended to set for realtime dataSources. See [Data handling with compaction](../ingestion/compaction.md#data-handling-with-compaction).|no (default = "P1D")|
|`tuningConfig`|Tuning config for compaction tasks. See below [Automatic compaction tuningConfig](#automatic-compaction-tuningconfig).|no|
|`metricsSpec`|Custom [`metricsSpec`](../ingestion/ingestion-spec.md#metricsspec). The compaction task preserves any existing metrics regardless of whether `metricsSpec` is specified. If `metricsSpec` is specified, Druid does not reapply any aggregators matching the metric names specified in `metricsSpec` to rows that already have the associated metrics. For rows that do not already have the metric specified in `metricsSpec`, Druid applies the metric aggregator on the source column, then proceeds to combine the metrics across segments as usual. If `metricsSpec` is not specified, Druid automatically discovers the metrics in the existing segments and combines existing metrics with the same metric name across segments. Aggregators for metrics with the same name are assumed to be compatible for combining across segments, otherwise the compaction task may fail.|No|
Compaction tasks fail when higher priority tasks cause Druid to revoke their locks. By default, realtime tasks like ingestion have a higher priority than compaction tasks. Therefore frequent conflicts between compaction tasks and realtime tasks can cause the coordinator's automatic compaction to get stuck.
You may see this issue with streaming ingestion from Kafka and Kinesis, which ingest late-arriving data. To mitigate this problem, set `skipOffsetFromLatest` to a value large enough so that arriving data tends to fall outside the offset value from the current time. This way you can avoid conflicts between compaction tasks and realtime ingestion tasks.
|type|The task type, this should always be `index_parallel`.|yes|
|`maxRowsInMemory`|Used in determining when intermediate persists to disk should occur. Normally user does not need to set this, but depending on the nature of data, if rows are short in terms of bytes, user may not want to store a million rows in memory and this value should be set.|no (default = 1000000)|
|`maxBytesInMemory`|Used in determining when intermediate persists to disk should occur. Normally this is computed internally and user does not need to set it. This value represents number of bytes to aggregate in heap memory before persisting. This is based on a rough estimate of memory usage and not actual usage. The maximum heap memory usage for indexing is `maxBytesInMemory` * (2 + `maxPendingPersists`)|no (default = 1/6 of max JVM memory)|
|`splitHintSpec`|Used to give a hint to control the amount of data that each first phase task reads. This hint could be ignored depending on the implementation of the input source. See [Split hint spec](../ingestion/native-batch.md#split-hint-spec) for more details.|no (default = size-based split hint spec)|
|`partitionsSpec`|Defines how to partition data in each time chunk, see [`PartitionsSpec`](../ingestion/native-batch.md#partitionsspec)|no (default = `dynamic`)|
|`indexSpec`|Defines segment storage format options to be used at indexing time, see [IndexSpec](../ingestion/ingestion-spec.md#indexspec)|no|
|`indexSpecForIntermediatePersists`|Defines segment storage format options to be used at indexing time for intermediate persisted temporary segments. this can be used to disable dimension/metric compression on intermediate segments to reduce memory required for final merging. however, disabling compression on intermediate segments might increase page cache use while they are used before getting merged into final segment published, see [IndexSpec](../ingestion/ingestion-spec.md#indexspec) for possible values.|no|
|`maxPendingPersists`|Maximum number of persists that can be pending but not started. If this limit would be exceeded by a new intermediate persist, ingestion will block until the currently-running persist finishes. Maximum heap memory usage for indexing scales with `maxRowsInMemory` * (2 + `maxPendingPersists`).|no (default = 0, meaning one persist can be running concurrently with ingestion, and none can be queued up)|
|`pushTimeout`|Milliseconds to wait for pushing segments. It must be >= 0, where 0 means to wait forever.|no (default = 0)|
|`segmentWriteOutMediumFactory`|Segment write-out medium to use when creating segments. See [SegmentWriteOutMediumFactory](../ingestion/native-batch-simple-task.md#segmentwriteoutmediumfactory).|no (default is the value from `druid.peon.defaultSegmentWriteOutMediumFactory.type` is used)|
|`maxNumConcurrentSubTasks`|Maximum number of worker tasks which can be run in parallel at the same time. The supervisor task would spawn worker tasks up to `maxNumConcurrentSubTasks` regardless of the current available task slots. If this value is set to 1, the supervisor task processes data ingestion on its own instead of spawning worker tasks. If this value is set to too large, too many worker tasks can be created which might block other ingestion. Check [Capacity Planning](../ingestion/native-batch.md#capacity-planning) for more details.|no (default = 1)|
|`maxRetry`|Maximum number of retries on task failures.|no (default = 3)|
|`maxNumSegmentsToMerge`|Max limit for the number of segments that a single task can merge at the same time in the second phase. Used only with `hashed` or `single_dim` partitionsSpec.|no (default = 100)|
|`totalNumMergeTasks`|Total number of tasks to merge segments in the merge phase when `partitionsSpec` is set to `hashed` or `single_dim`.|no (default = 10)|
|`taskStatusCheckPeriodMs`|Polling period in milliseconds to check running task statuses.|no (default = 1000)|
|`chatHandlerTimeout`|Timeout for reporting the pushed segments in worker tasks.|no (default = PT10S)|
|`chatHandlerNumRetries`|Retries for reporting the pushed segments in worker tasks.|no (default = 5)|
|`segmentGranularity`|Time chunking period for the segment granularity. Defaults to 'null', which preserves the original segment granularity. Accepts all [Query granularity](../querying/granularities.md) values.|No|
|`queryGranularity`|The resolution of timestamp storage within each segment. Defaults to 'null', which preserves the original query granularity. Accepts all [Query granularity](../querying/granularities.md) values.|No|
|`rollup`|Whether to enable ingestion-time rollup or not. Defaults to 'null', which preserves the original setting. Note that once data is rollup, individual records can no longer be recovered. |No|
|`dimensions`| A list of dimension names or objects. Defaults to 'null', which preserves the original dimensions. Note that setting this will cause segments manually compacted with `dimensionExclusions` to be compacted again.|No|
|`filter`| The `filter` conditionally filters input rows during compaction. Only rows that pass the filter will be included in the compacted segments. Any of Druid's standard [query filters](../querying/filters.md) can be used. Defaults to 'null', which will not filter any row. |No|
|`dropExisting`|If `true` the compaction task replaces all existing segments fully contained by the umbrella interval of the compacted segments when the task publishes new segments and tombstones. If compaction fails, Druid does not publish any segments or tombstones. WARNING: this functionality is still in beta. Note that changing this config does not cause intervals to be compacted again.|false|no|
|`druid.host`|The host for the current process. This is used to advertise the current processes location as reachable from another process and should generally be specified such that `http://${druid.host}/` could actually talk to this process|InetAddress.getLocalHost().getCanonicalHostName()|
|`druid.bindOnHost`|Indicating whether the process's internal jetty server bind on `druid.host`. Default is false, which means binding to all interfaces.|false|
|`druid.tlsPort`|TLS port for HTTPS connector, if [druid.enableTlsPort](../operations/tls-support.md) is set then this config will be used. If `druid.host` contains port then that port will be ignored. This should be a non-negative Integer.|8290|
|`druid.service`|The name of the service. This is used as a dimension when emitting metrics and alerts to differentiate between the various services|druid/overlord|
|`druid.indexer.runner.type`|Choices "local" or "remote". Indicates whether tasks should be run locally or in a distributed environment. Experimental task runner "httpRemote" is also available which is same as "remote" but uses HTTP to interact with Middle Managers instead of Zookeeper.|local|
|`druid.indexer.storage.type`|Choices are "local" or "metadata". Indicates whether incoming tasks should be stored locally (in heap) or in metadata storage. "local" is mainly for internal testing while "metadata" is recommended in production because storing incoming tasks in metadata storage allows for tasks to be resumed if the Overlord should fail.|local|
|`druid.indexer.storage.recentlyFinishedThreshold`|Duration of time to store task results. Default is 24 hours. If you have hundreds of tasks running in a day, consider increasing this threshold.|PT24H|
|`druid.indexer.tasklock.forceTimeChunkLock`|_**Setting this to false is still experimental**_<br/> If set, all tasks are enforced to use time chunk lock. If not set, each task automatically chooses a lock type to use. This configuration can be overwritten by setting `forceTimeChunkLock` in the [task context](../ingestion/tasks.md#context). See [Task Locking & Priority](../ingestion/tasks.md#context) for more details about locking in tasks.|true|
|`druid.indexer.task.default.context`|Default task context that is applied to all tasks submitted to the Overlord. Any default in this config does not override neither the context values the user provides nor `druid.indexer.tasklock.forceTimeChunkLock`.|empty context|
|`druid.indexer.queue.startDelay`|Sleep this long before starting Overlord queue management. This can be useful to give a cluster time to re-orient itself after e.g. a widespread network issue.|PT1M|
|`druid.indexer.queue.restartDelay`|Sleep this long when Overlord queue management throws an exception before trying again.|PT30S|
|`druid.indexer.queue.storageSyncRate`|Sync Overlord state this often with an underlying task persistence mechanism.|PT1M|
The following configs only apply if the Overlord is running in remote mode. For a description of local vs. remote mode, see [Overlord Process](../design/overlord.md).
|`druid.indexer.runner.minWorkerVersion`|The minimum MiddleManager version to send tasks to. The version number is a string. This affects the expected behavior during certain operations like comparison against `druid.worker.version`. Specifically, the version comparison follows dictionary order. Use ISO8601 date format for the version to accommodate date comparisons. |"0"|
| `druid.indexer.runner.parallelIndexTaskSlotRatio`| The ratio of task slots available for parallel indexing supervisor tasks per worker. The specified value must be in the range [0, 1]. |1|
|`druid.indexer.runner.maxZnodeBytes`|The maximum size Znode in bytes that can be created in Zookeeper, should be in the range of [10KiB, 2GiB). [Human-readable format](human-readable-byte.md) is supported.| 512 KiB |
|`druid.indexer.runner.maxRetriesBeforeBlacklist`|Number of consecutive times the MiddleManager can fail tasks, before the worker is blacklisted, must be at least 1|5|
|`druid.indexer.runner.workerBlackListBackoffTime`|How long to wait before a task is whitelisted again. This value should be greater that the value set for taskBlackListCleanupPeriod.|PT15M|
|`druid.indexer.runner.workerBlackListCleanupPeriod`|A duration after which the cleanup thread will startup to clean blacklisted workers.|PT5M|
|`druid.indexer.runner.maxPercentageBlacklistWorkers`|The maximum percentage of workers to blacklist, this must be between 0 and 100.|20|
There are additional configs for autoscaling (if it is enabled):
|`druid.indexer.autoscale.workerCapacityHint`| An estimation of the number of task slots available for each worker launched by the auto scaler when there are no workers running. The auto scaler uses the worker capacity hint to launch workers with an adequate capacity to handle pending tasks. When unset or set to a value less than or equal to 0, the auto scaler scales workers equal to the value for `minNumWorkers` in autoScaler config instead. The auto scaler assumes that each worker, either a middleManager or indexer, has the same amount of task slots. Therefore, when all your workers have the same capacity (homogeneous capacity), set the value for `autoscale.workerCapacityHint` equal to `druid.worker.capacity`. If your workers have different capacities (heterogeneous capacity), set the value to the average of `druid.worker.capacity` across the workers. For example, if two workers have `druid.worker.capacity=10`, and one has `druid.worker.capacity=4`, set `autoscale.workerCapacityHint=8`. Only applies to `pendingTaskBased` provisioning strategy.|-1|
|`druid.supervisor.healthinessThreshold`|The number of successful runs before an unhealthy supervisor is again considered healthy.|3|
|`druid.supervisor.unhealthinessThreshold`|The number of failed runs before the supervisor is considered unhealthy.|3|
|`druid.supervisor.taskHealthinessThreshold`|The number of consecutive task successes before an unhealthy supervisor is again considered healthy.|3|
|`druid.supervisor.taskUnhealthinessThreshold`|The number of consecutive task failures before the supervisor is considered unhealthy.|3|
|`druid.supervisor.storeStackTrace`|Whether full stack traces of supervisor exceptions should be stored and returned by the supervisor `/status` endpoint.|false|
|`druid.supervisor.maxStoredExceptionEvents`|The maximum number of exception events that can be returned through the supervisor `/status` endpoint.|`max(healthinessThreshold, unhealthinessThreshold)`|
Optional Header Parameters for auditing the config change can also be specified.
|Header Param Name| Description | Default |
|----------|-------------|---------|
|`X-Druid-Author`| author making the config change|""|
|`X-Druid-Comment`| comment describing the change being done|""|
A sample worker config spec is shown below:
```json
{
"selectStrategy": {
"type": "fillCapacity",
"affinityConfig": {
"affinity": {
"datasource1": ["host1:port", "host2:port"],
"datasource2": ["host3:port"]
}
}
},
"autoScaler": {
"type": "ec2",
"minNumWorkers": 2,
"maxNumWorkers": 12,
"envConfig": {
"availabilityZone": "us-east-1a",
"nodeData": {
"amiId": "${AMI}",
"instanceType": "c3.8xlarge",
"minInstances": 1,
"maxInstances": 1,
"securityGroupIds": ["${IDs}"],
"keyName": "${KEY_NAME}"
},
"userData": {
"impl": "string",
"data": "${SCRIPT_COMMAND}",
"versionReplacementString": ":VERSION:",
"version": null
}
}
}
}
```
Issuing a GET request at the same URL will return the current worker config spec that is currently in place. The worker config spec list above is just a sample for EC2 and it is possible to extend the code base for other deployment environments. A description of the worker config spec is shown below.
default value of interval can be specified by setting `druid.audit.manager.auditHistoryMillis` (1 week if not configured) in Overlord runtime.properties.
This strategy is a variant of `Equal Distribution`, which support `workerCategorySpec` field rather than `affinityConfig`. By specifying `workerCategorySpec`, you can assign tasks to run on different categories of MiddleManagers based on the tasks' **taskType** and **dataSource name**. This strategy can't work with `AutoScaler` since the behavior is undefined.
|Property|Description|Default|
|--------|-----------|-------|
|`type`|`equalDistributionWithCategorySpec`.|required; must be `equalDistributionWithCategorySpec`|
|`workerCategorySpec`|[Worker Category Spec](#workercategoryspec) object|null (no worker category spec)|
Example: specify tasks default to run on **c1** whose task
type is "index_kafka", while dataSource "ds1" run on **c2**.
This strategy is a variant of `Fill Capacity`, which support `workerCategorySpec` field rather than `affinityConfig`. The usage is the same with _equalDistributionWithCategorySpec_ strategy. This strategy can't work with `AutoScaler` since the behavior is undefined.
|Property|Description|Default|
|--------|-----------|-------|
|`type`|`fillCapacityWithCategorySpec`.|required; must be `fillCapacityWithCategorySpec`|
|`workerCategorySpec`|[Worker Category Spec](#workercategoryspec) object|null (no worker category spec)|
> Before using the _equalDistributionWithCategorySpec_ and _fillCapacityWithCategorySpec_ strategies, you must upgrade overlord and all MiddleManagers to the version that support this feature.
Allows defining arbitrary logic for selecting workers to run task using a JavaScript function.
The function is passed remoteTaskRunnerConfig, map of workerId to available workers and task to be executed and returns the workerId on which the task should be run or null if the task cannot be run.
It can be used for rapid development of missing features where the worker selection logic is to be changed or tuned often.
> JavaScript-based functionality is disabled by default. Please refer to the Druid [JavaScript programming guide](../development/javascript.md) for guidelines about using Druid's JavaScript functionality, including instructions on how to enable it.
Use the `affinityConfig` field to pass affinity configuration to the _equalDistribution_ and _fillCapacity_ strategies. If not provided, the default is to not use affinity at all.
|`affinity`|JSON object mapping a datasource String name to a list of indexing service MiddleManager host:port String values. Druid doesn't perform DNS resolution, so the 'host' value must match what is configured on the MiddleManager and what the MiddleManager announces itself as (examine the Overlord logs to see what your MiddleManager announces itself as).|{}|
|`strong`|When `true` tasks for a datasource must be assigned to affinity-mapped MiddleManagers. Tasks remain queued until a slot becomes available. When `false`, Druid may assign tasks for a datasource to other MiddleManagers when affinity-mapped MiddleManagers are unavailable to run queued tasks.|false|
WorkerCategorySpec can be provided to the _equalDistributionWithCategorySpec_ and _fillCapacityWithCategorySpec_ strategies using the "workerCategorySpec"
field. If not provided, the default is to not use it at all.
|Property|Description|Default|
|--------|-----------|-------|
|`categoryMap`|A JSON map object mapping a task type String name to a [CategoryConfig](#categoryconfig) object, by which you can specify category config for different task type.|{}|
|`strong`|With weak workerCategorySpec (the default), tasks for a dataSource may be assigned to other MiddleManagers if the MiddleManagers specified in `categoryMap` are not able to run all pending tasks in the queue for that dataSource. With strong workerCategorySpec, tasks for a dataSource will only ever be assigned to their specified MiddleManagers, and will wait in the pending queue if necessary.|false|
###### CategoryConfig
|Property|Description|Default|
|--------|-----------|-------|
|`defaultCategory`|Specify default category for a task type.|null|
|`categoryAffinity`|A JSON map object mapping a datasource String name to a category String name of the MiddleManager. If category isn't specified for a datasource, then using the `defaultCategory`. If no specified category and the `defaultCategory` is also null, then tasks can run on any available MiddleManagers.|null|
|`minNumWorkers`|The minimum number of workers that can be in the cluster at any given time.|0|
|`maxNumWorkers`|The maximum number of workers that can be in the cluster at any given time.|0|
|`availabilityZone`|What availability zone to run in.|none|
|`nodeData`|A JSON object that describes how to launch new nodes.|none; required|
|`userData`|A JSON object that describes how to configure new nodes. If you have set druid.indexer.autoscale.workerVersion, this must have a versionReplacementString. Otherwise, a versionReplacementString is not necessary.|none; optional|
This section contains the configuration options for the processes that reside on Data servers (MiddleManagers/Peons and Historicals) in the suggested [three-server configuration](../design/processes.md#server-types).
|`druid.host`|The host for the current process. This is used to advertise the current processes location as reachable from another process and should generally be specified such that `http://${druid.host}/` could actually talk to this process|InetAddress.getLocalHost().getCanonicalHostName()|
|`druid.bindOnHost`|Indicating whether the process's internal jetty server bind on `druid.host`. Default is false, which means binding to all interfaces.|false|
|`druid.tlsPort`|TLS port for HTTPS connector, if [druid.enableTlsPort](../operations/tls-support.md) is set then this config will be used. If `druid.host` contains port then that port will be ignored. This should be a non-negative Integer.|8291|
|`druid.service`|The name of the service. This is used as a dimension when emitting metrics and alerts to differentiate between the various services|druid/middlemanager|
|`druid.indexer.runner.allowedPrefixes`|Whitelist of prefixes for configs that can be passed down to child peons.|"com.metamx", "druid", "org.apache.druid", "user.timezone", "file.encoding", "java.io.tmpdir", "hadoop"|
|`druid.indexer.runner.classpath`|Java classpath for the peon.|System.getProperty("java.class.path")|
|`druid.indexer.runner.javaCommand`|Command required to execute java.|java|
|`druid.indexer.runner.javaOpts`|*DEPRECATED* A string of -X Java options to pass to the peon's JVM. Quotable parameters or parameters with spaces are encouraged to use javaOptsArray|""|
|`druid.indexer.runner.javaOptsArray`|A JSON array of strings to be passed in as options to the peon's JVM. This is additive to javaOpts and is recommended for properly handling arguments which contain quotes or spaces like `["-XX:OnOutOfMemoryError=kill -9 %p"]`|`[]`|
|`druid.indexer.runner.maxZnodeBytes`|The maximum size Znode in bytes that can be created in Zookeeper, should be in the range of [10KiB, 2GiB). [Human-readable format](human-readable-byte.md) is supported.|512KiB|
|`druid.indexer.runner.startPort`|Starting port used for peon processes, should be greater than 1023 and less than 65536.|8100|
|`druid.indexer.runner.endPort`|Ending port used for peon processes, should be greater than or equal to `druid.indexer.runner.startPort` and less than 65536.|65535|
|`druid.indexer.runner.ports`|A JSON array of integers to specify ports that used for peon processes. If provided and non-empty, ports for peon processes will be chosen from these ports. And `druid.indexer.runner.startPort/druid.indexer.runner.endPort` will be completely ignored.|`[]`|
|`druid.worker.version`|Version identifier for the MiddleManager. The version number is a string. This affects the expected behavior during certain operations like comparison against `druid.indexer.runner.minWorkerVersion`. Specifically, the version comparison follows dictionary order. Use ISO8601 date format for the version to accommodate date comparisons.|0|
|`druid.processing.buffer.sizeBytes`|This specifies a buffer size (less than 2GiB) for the storage of intermediate results. The computation engine in both the Historical and Realtime processes will use a scratch buffer of this size to do all of their intermediate computations off-heap. Larger values allow for more aggregations in a single pass over the data while smaller values can require more passes depending on the query that is being executed. [Human-readable format](human-readable-byte.md) is supported.|auto (max 1 GiB)|
|`druid.processing.buffer.poolCacheMaxCount`|processing buffer pool caches the buffers for later use, this is the maximum count cache will grow to. note that pool can create more buffers than it can cache if necessary.|Integer.MAX_VALUE|
|`druid.processing.numMergeBuffers`|The number of direct memory buffers available for merging query results. The buffers are sized by `druid.processing.buffer.sizeBytes`. This property is effectively a concurrency limit for queries that require merging buffers. If you are using any queries that require merge buffers (currently, just groupBy v2) then you should have at least two of these.|`max(2, druid.processing.numThreads / 4)`|
|`druid.processing.numThreads`|The number of processing threads to have available for parallel processing of segments. Our rule of thumb is `num_cores - 1`, which means that even under heavy load there will still be one core available to do background tasks like talking with ZooKeeper and pulling down segments. If only one core is available, this property defaults to the value `1`.|Number of cores - 1 (or 1)|
|`druid.processing.columnCache.sizeBytes`|Maximum size in bytes for the dimension value lookup cache. Any value greater than `0` enables the cache. It is currently disabled by default. Enabling the lookup cache can significantly improve the performance of aggregators operating on dimension values, such as the JavaScript aggregator, or cardinality aggregator, but can slow things down if the cache hit rate is low (i.e. dimensions with few repeating values). Enabling it may also require additional garbage collection tuning to avoid long GC pauses.|`0` (disabled)|
|`druid.processing.fifo`|If the processing queue should treat tasks of equal priority in a FIFO manner|`false`|
|`druid.processing.tmpDir`|Path where temporary files created while processing a query should be stored. If specified, this configuration takes priority over the default `java.io.tmpdir` path.|path represented by `java.io.tmpdir`|
|`druid.processing.intermediaryData.storage.type`|Storage type for storing intermediary segments of data shuffle between native parallel index tasks. Current choices are "local" which stores segment files in local storage of Middle Managers (or Indexer) or "deepstore" which uses configured deep storage. Note - With "deepstore" type data is stored in `shuffle-data` directory under the configured deep storage path, auto clean up for this directory is not supported yet. One can setup cloud storage lifecycle rules for auto clean up of data at `shuffle-data` prefix location.|local|
Although peons inherit the configurations of their parent MiddleManagers, explicit child peon configs in MiddleManager can be set by prefixing them with:
|`druid.peon.mode`|Choices are "local" and "remote". Setting this to local means you intend to run the peon as a standalone process (Not recommended).|remote|
|`druid.indexer.task.batchProcessingMode`| Batch ingestion tasks have three operating modes to control construction and tracking for intermediary segments: `OPEN_SEGMENTS`, `CLOSED_SEGMENTS`, and `CLOSED_SEGMENT_SINKS`. `OPEN_SEGMENTS` uses the streaming ingestion code path and performs a `mmap` on intermediary segments to build a timeline to make these segments available to realtime queries. Batch ingestion doesn't require intermediary segments, so the default mode, `CLOSED_SEGMENTS`, eliminates `mmap` of intermediary segments. `CLOSED_SEGMENTS` mode still tracks the entire set of segments in heap. The `CLOSED_SEGMENTS_SINKS` mode is the most aggressive configuration and should have the smallest memory footprint. It eliminates in-memory tracking and `mmap` of intermediary segments produced during segment creation. `CLOSED_SEGMENTS_SINKS` mode isn't as well tested as other modes so is currently considered experimental. You can use `OPEN_SEGMENTS` mode if problems occur with the 2 newer modes. |`CLOSED_SEGMENTS`|
|`druid.indexer.task.defaultHadoopCoordinates`|Hadoop version to use with HadoopIndexTasks that do not request a particular version.|org.apache.hadoop:hadoop-client:2.8.5|
|`druid.indexer.task.restoreTasksOnRestart`|If true, MiddleManagers will attempt to stop tasks gracefully on shutdown and restore them on restart.|false|
|`druid.indexer.task.ignoreTimestampSpecForDruidInputSource`|If true, tasks using the [Druid input source](../ingestion/native-batch-input-source.md) will ignore the provided timestampSpec, and will use the `__time` column of the input datasource. This option is provided for compatibility with ingestion specs written before Druid 0.22.0.|false|
|`druid.indexer.task.storeEmptyColumns`|Boolean value for whether or not to store empty columns during ingestion. When set to true, Druid stores every column specified in the [`dimensionsSpec`](../ingestion/ingestion-spec.md#dimensionsspec). If you use schemaless ingestion and don't specify any dimensions to ingest, you must also set [`includeAllDimensions`](../ingestion/ingestion-spec.md#dimensionsspec) for Druid to store empty columns.<br/><br/>If you set `storeEmptyColumns` to false, Druid SQL queries referencing empty columns will fail. If you intend to leave `storeEmptyColumns` disabled, you should either ingest dummy data for empty columns or else not query on empty columns.<br/><br/>This configuration can be overwritten by setting `storeEmptyColumns` in the [task context](../ingestion/tasks.md#context-parameters).|true|
|`druid.host`|The host for the current process. This is used to advertise the current processes location as reachable from another process and should generally be specified such that `http://${druid.host}/` could actually talk to this process|InetAddress.getLocalHost().getCanonicalHostName()|
|`druid.bindOnHost`|Indicating whether the process's internal jetty server bind on `druid.host`. Default is false, which means binding to all interfaces.|false|
|`druid.plaintextPort`|This is the port to actually listen on; unless port mapping is used, this will be the same port as is on `druid.host`|8091|
|`druid.tlsPort`|TLS port for HTTPS connector, if [druid.enableTlsPort](../operations/tls-support.md) is set then this config will be used. If `druid.host` contains port then that port will be ignored. This should be a non-negative Integer.|8283|
|`druid.service`|The name of the service. This is used as a dimension when emitting metrics and alerts to differentiate between the various services|druid/indexer|
#### Indexer General Configuration
|Property|Description|Default|
|--------|-----------|-------|
|`druid.worker.version`|Version identifier for the Indexer.|0|
|`druid.worker.capacity`|Maximum number of tasks the Indexer can accept.|Number of available processors - 1|
|`druid.worker.globalIngestionHeapLimitBytes`|Total amount of heap available for ingestion processing. This is applied by automatically setting the `maxBytesInMemory` property on tasks.|60% of configured JVM heap|
|`druid.worker.numConcurrentMerges`|Maximum number of segment persist or merge operations that can run concurrently across all tasks.|`druid.worker.capacity` / 2, rounded down|
|`druid.indexer.task.baseDir`|Base temporary working directory.|`System.getProperty("java.io.tmpdir")`|
|`druid.indexer.task.baseTaskDir`|Base temporary working directory for tasks.|`${druid.indexer.task.baseDir}/persistent/tasks`|
|`druid.indexer.task.defaultHadoopCoordinates`|Hadoop version to use with HadoopIndexTasks that do not request a particular version.|org.apache.hadoop:hadoop-client:2.8.5|
|`druid.indexer.task.ignoreTimestampSpecForDruidInputSource`|If true, tasks using the [Druid input source](../ingestion/native-batch-input-source.md) will ignore the provided timestampSpec, and will use the `__time` column of the input datasource. This option is provided for compatibility with ingestion specs written before Druid 0.22.0.|false|
|`druid.indexer.task.storeEmptyColumns`|Boolean value for whether or not to store empty columns during ingestion. When set to true, Druid stores every column specified in the [`dimensionsSpec`](../ingestion/ingestion-spec.md#dimensionsspec). If you use schemaless ingestion and don't specify any dimensions to ingest, you must also set [`includeAllDimensions`](../ingestion/ingestion-spec.md#dimensionsspec) for Druid to store empty columns.<br/><br/>If you set `storeEmptyColumns` to false, Druid SQL queries referencing empty columns will fail. If you intend to leave `storeEmptyColumns` disabled, you should either ingest dummy data for empty columns or else not query on empty columns.<br/><br/>This configuration can be overwritten by setting `storeEmptyColumns` in the [task context](../ingestion/tasks.md#context-parameters).|true|
|`druid.server.http.numThreads`|Number of threads for HTTP requests. Please see the [Indexer Server HTTP threads](../design/indexer.md#server-http-threads) documentation for more details on how the Indexer uses this configuration.|max(10, (Number of cores * 17) / 16 + 2) + 30|
|`druid.server.http.queueSize`|Size of the worker queue used by Jetty server to temporarily store incoming client connections. If this value is set and a request is rejected by jetty because queue is full then client would observe request failure with TCP connection being closed immediately with a completely empty response from server.|Unbounded|
|`druid.server.http.maxIdleTime`|The Jetty max idle time for a connection.|PT5M|
|`druid.server.http.enableRequestLimit`|If enabled, no requests would be queued in jetty queue and "HTTP 429 Too Many Requests" error response would be sent. |false|
|`druid.server.http.defaultQueryTimeout`|Query timeout in millis, beyond which unfinished queries will be cancelled|300000|
|`druid.server.http.gracefulShutdownTimeout`|The maximum amount of time Jetty waits after receiving shutdown signal. After this timeout the threads will be forcefully shutdown. This allows any queries that are executing to complete(Only values greater than zero are valid).|`PT30S`|
|`druid.server.http.unannouncePropagationDelay`|How long to wait for zookeeper unannouncements to propagate before shutting down Jetty. This is a minimum and `druid.server.http.gracefulShutdownTimeout` does not start counting down until after this period elapses.|`PT0S` (do not wait)|
|`druid.server.http.maxQueryTimeout`|Maximum allowed value (in milliseconds) for `timeout` parameter. See [query-context](../querying/query-context.md) to know more about `timeout`. Query is rejected if the query context `timeout` is greater than this value. |Long.MAX_VALUE|
|`druid.server.http.maxRequestHeaderSize`|Maximum size of a request header in bytes. Larger headers consume more memory and can make a server more vulnerable to denial of service attacks.|8 * 1024|
|`druid.server.http.enableForwardedRequestCustomizer`|If enabled, adds Jetty ForwardedRequestCustomizer which reads X-Forwarded-* request headers to manipulate servlet request object when Druid is used behind a proxy.|false|
|`druid.server.http.allowedHttpMethods`|List of HTTP methods that should be allowed in addition to the ones required by Druid APIs. Druid APIs require GET, PUT, POST, and DELETE, which are always allowed. This option is not useful unless you have installed an extension that needs these additional HTTP methods or that adds functionality related to CORS. None of Druid's bundled extensions require these methods.|[]|
|`druid.processing.buffer.sizeBytes`|This specifies a buffer size (less than 2GiB) for the storage of intermediate results. The computation engine in the Indexer processes will use a scratch buffer of this size to do all of their intermediate computations off-heap. Larger values allow for more aggregations in a single pass over the data while smaller values can require more passes depending on the query that is being executed. [Human-readable format](human-readable-byte.md) is supported.|auto (max 1GiB)|
|`druid.processing.buffer.poolCacheMaxCount`|processing buffer pool caches the buffers for later use, this is the maximum count cache will grow to. note that pool can create more buffers than it can cache if necessary.|Integer.MAX_VALUE|
|`druid.processing.formatString`|Indexer processes use this format string to name their processing threads.|processing-%s|
|`druid.processing.numMergeBuffers`|The number of direct memory buffers available for merging query results. The buffers are sized by `druid.processing.buffer.sizeBytes`. This property is effectively a concurrency limit for queries that require merging buffers. If you are using any queries that require merge buffers (currently, just groupBy v2) then you should have at least two of these.|`max(2, druid.processing.numThreads / 4)`|
|`druid.processing.numThreads`|The number of processing threads to have available for parallel processing of segments. Our rule of thumb is `num_cores - 1`, which means that even under heavy load there will still be one core available to do background tasks like talking with ZooKeeper and pulling down segments. If only one core is available, this property defaults to the value `1`.|Number of cores - 1 (or 1)|
|`druid.processing.columnCache.sizeBytes`|Maximum size in bytes for the dimension value lookup cache. Any value greater than `0` enables the cache. It is currently disabled by default. Enabling the lookup cache can significantly improve the performance of aggregators operating on dimension values, such as the JavaScript aggregator, or cardinality aggregator, but can slow things down if the cache hit rate is low (i.e. dimensions with few repeating values). Enabling it may also require additional garbage collection tuning to avoid long GC pauses.|`0` (disabled)|
|`druid.processing.fifo`|If the processing queue should treat tasks of equal priority in a FIFO manner|`false`|
|`druid.processing.tmpDir`|Path where temporary files created while processing a query should be stored. If specified, this configuration takes priority over the default `java.io.tmpdir` path.|path represented by `java.io.tmpdir`|
The amount of direct memory needed by Druid is at least
`druid.processing.buffer.sizeBytes * (druid.processing.numMergeBuffers + druid.processing.numThreads + 1)`. You can
ensure at least this amount of direct memory is available by providing `-XX:MaxDirectMemorySize=<VALUE>` at the command
See [cache configuration](#cache-configuration) for how to configure cache settings.
Note that only local caches such as the `local`-type cache and `caffeine` cache are supported. If a remote cache such as `memcached` is used, it will be ignored.
|`druid.host`|The host for the current process. This is used to advertise the current processes location as reachable from another process and should generally be specified such that `http://${druid.host}/` could actually talk to this process|InetAddress.getLocalHost().getCanonicalHostName()|
|`druid.bindOnHost`|Indicating whether the process's internal jetty server bind on `druid.host`. Default is false, which means binding to all interfaces.|false|
|`druid.tlsPort`|TLS port for HTTPS connector, if [druid.enableTlsPort](../operations/tls-support.md) is set then this config will be used. If `druid.host` contains port then that port will be ignored. This should be a non-negative Integer.|8283|
|`druid.service`|The name of the service. This is used as a dimension when emitting metrics and alerts to differentiate between the various services|druid/historical|
|`druid.server.maxSize`|The maximum number of bytes-worth of segments that the process wants assigned to it. The Coordinator process will attempt to assign segments to a Historical process only if this property is greater than the total size of segments served by it. Since this property defines the upper limit on the total segment size that can be assigned to a Historical, it is defaulted to the sum of all `maxSize` values specified within `druid.segmentCache.locations` property. Human-readable format is supported, see [here](human-readable-byte.md). |Sum of `maxSize` values defined within `druid.segmentCache.locations`|
|`druid.server.tier`| A string to name the distribution tier that the storage process belongs to. Many of the [rules Coordinator processes use](../operations/rule-configuration.md) to manage segments can be keyed on tiers. | `_default_tier` |
|`druid.server.priority`|In a tiered architecture, the priority of the tier, thus allowing control over which processes are queried. Higher numbers mean higher priority. The default (no priority) works for architecture with no cross replication (tiers that have no data-storage overlap). Data centers typically have equal priority. | 0 |
|`druid.segmentCache.locations`|Segments assigned to a Historical process are first stored on the local file system (in a disk cache) and then served by the Historical process. These locations define where that local cache resides. This value cannot be NULL or EMPTY. Here is an example `druid.segmentCache.locations=[{"path": "/mnt/druidSegments", "maxSize": "10k", "freeSpacePercent": 1.0}]`. "freeSpacePercent" is optional, if provided then enforces that much of free disk partition space while storing segments. But, it depends on File.getTotalSpace() and File.getFreeSpace() methods, so enable if only if they work for your File System.| none |
|`druid.segmentCache.locationSelector.strategy`|The strategy used to select a location from the configured `druid.segmentCache.locations` for segment distribution. Possible values are `leastBytesUsed`, `roundRobin`, `random`, or `mostAvailableSize`. |leastBytesUsed|
|`druid.segmentCache.deleteOnRemove`|Delete segment files from cache once a process is no longer serving a segment.|true|
|`druid.segmentCache.dropSegmentDelayMillis`|How long a process delays before completely dropping segment.|30000 (30 seconds)|
|`druid.segmentCache.infoDir`|Historical processes keep track of the segments they are serving so that when the process is restarted they can reload the same segments without waiting for the Coordinator to reassign. This path defines where this metadata is kept. Directory will be created if needed.|${first_location}/info_dir|
|`druid.segmentCache.announceIntervalMillis`|How frequently to announce segments while segments are loading from cache. Set this value to zero to wait for all segments to be loaded before announcing.|5000 (5 seconds)|
|`druid.segmentCache.numLoadingThreads`|How many segments to drop or load concurrently from deep storage. Note that the work of loading segments involves downloading segments from deep storage, decompressing them and loading them to a memory mapped location. So the work is not all I/O Bound. Depending on CPU and network load, one could possibly increase this config to a higher value.|max(1,Number of cores / 6)|
|`druid.segmentCache.lazyLoadOnStart`|Whether or not to load segment columns metadata lazily during historical startup. When set to true, Historical startup time will be dramatically improved by deferring segment loading until the first time that segment takes part in a query, which will incur this cost instead.|false|
|`druid.coordinator.loadqueuepeon.curator.numCallbackThreads`|Number of threads for executing callback actions associated with loading or dropping of segments. One might want to increase this number when noticing clusters are lagging behind w.r.t. balancing segments across historical nodes.|2|
|`druid.segmentCache.numThreadsToLoadSegmentsIntoPageCacheOnDownload`|Number of threads to asynchronously read segment index files into null output stream on each new segment download after the historical process finishes bootstrapping. Recommended to set to 1 or 2 or leave unspecified to disable. See also `druid.segmentCache.numThreadsToLoadSegmentsIntoPageCacheOnBootstrap`|0|
|`druid.segmentCache.numThreadsToLoadSegmentsIntoPageCacheOnBootstrap`|Number of threads to asynchronously read segment index files into null output stream during historical process bootstrap. This thread pool is terminated after historical process finishes bootstrapping. Recommended to set to half of available cores. If left unspecified, `druid.segmentCache.numThreadsToLoadSegmentsIntoPageCacheOnDownload` will be used. If both configs are unspecified, this feature is disabled. Preemptively loading segments into page cache helps in the sense that later when a segment is queried, it's already in page cache and only a minor page fault needs to be triggered instead of a more costly major page fault to make the query latency more consistent. Note that loading segment into page cache just does a blind loading of segment index files and will evict any existing segments from page cache at the discretion of operating system when the total segment size on local disk is larger than the page cache usable in the RAM, which roughly equals to total available RAM in the host - druid process memory including both heap and direct memory allocated - memory used by other non druid processes on the host, so it is the user's responsibility to ensure the host has enough RAM to host all the segments to avoid random evictions to fully leverage this feature.|`druid.segmentCache.numThreadsToLoadSegmentsIntoPageCacheOnDownload`|
In `druid.segmentCache.locations`, *freeSpacePercent* was added because *maxSize* setting is only a theoretical limit and assumes that much space will always be available for storing segments. In case of any druid bug leading to unaccounted segment files left alone on disk or some other process writing stuff to disk, This check can start failing segment loading early before filling up the disk completely and leaving the host usable otherwise.
In `druid.segmentCache.locationSelector.strategy`, one of `leastBytesUsed`, `roundRobin`, `random`, or `mostAvailableSize` could be specified to represent the strategy to distribute segments across multiple segment cache locations.
|`leastBytesUsed`|selects a location which has least bytes used in absolute terms.|
|`roundRobin`|selects a location in a round robin fashion oblivious to the bytes used or the capacity.|
|`random`|selects a segment cache location randomly each time among the available storage locations.|
|`mostAvailableSize`|selects a segment cache location that has most free space among the available storage locations.|
Note that if `druid.segmentCache.numLoadingThreads` > 1, multiple threads can download different segments at the same time. In this case, with the leastBytesUsed strategy or mostAvailableSize strategy, historicals may select a sub-optimal storage location because each decision is based on a snapshot of the storage location status of when a segment is requested to download.
|`druid.server.http.numThreads`|Number of threads for HTTP requests.|max(10, (Number of cores * 17) / 16 + 2) + 30|
|`druid.server.http.queueSize`|Size of the worker queue used by Jetty server to temporarily store incoming client connections. If this value is set and a request is rejected by jetty because queue is full then client would observe request failure with TCP connection being closed immediately with a completely empty response from server.|Unbounded|
|`druid.server.http.maxIdleTime`|The Jetty max idle time for a connection.|PT5M|
|`druid.server.http.enableRequestLimit`|If enabled, no requests would be queued in jetty queue and "HTTP 429 Too Many Requests" error response would be sent. |false|
|`druid.server.http.defaultQueryTimeout`|Query timeout in millis, beyond which unfinished queries will be cancelled|300000|
|`druid.server.http.gracefulShutdownTimeout`|The maximum amount of time Jetty waits after receiving shutdown signal. After this timeout the threads will be forcefully shutdown. This allows any queries that are executing to complete(Only values greater than zero are valid).|`PT30S`|
|`druid.server.http.unannouncePropagationDelay`|How long to wait for zookeeper unannouncements to propagate before shutting down Jetty. This is a minimum and `druid.server.http.gracefulShutdownTimeout` does not start counting down until after this period elapses.|`PT0S` (do not wait)|
|`druid.server.http.maxQueryTimeout`|Maximum allowed value (in milliseconds) for `timeout` parameter. See [query-context](../querying/query-context.md) to know more about `timeout`. Query is rejected if the query context `timeout` is greater than this value. |Long.MAX_VALUE|
|`druid.server.http.maxRequestHeaderSize`|Maximum size of a request header in bytes. Larger headers consume more memory and can make a server more vulnerable to denial of service attacks.|8 * 1024|
|`druid.processing.buffer.sizeBytes`|This specifies a buffer size (less than 2GiB), for the storage of intermediate results. The computation engine in both the Historical and Realtime processes will use a scratch buffer of this size to do all of their intermediate computations off-heap. Larger values allow for more aggregations in a single pass over the data while smaller values can require more passes depending on the query that is being executed. [Human-readable format](human-readable-byte.md) is supported.|auto (max 1GiB)|
|`druid.processing.buffer.poolCacheMaxCount`|processing buffer pool caches the buffers for later use, this is the maximum count cache will grow to. note that pool can create more buffers than it can cache if necessary.|Integer.MAX_VALUE|
|`druid.processing.numMergeBuffers`|The number of direct memory buffers available for merging query results. The buffers are sized by `druid.processing.buffer.sizeBytes`. This property is effectively a concurrency limit for queries that require merging buffers. If you are using any queries that require merge buffers (currently, just groupBy v2) then you should have at least two of these.|`max(2, druid.processing.numThreads / 4)`|
|`druid.processing.numThreads`|The number of processing threads to have available for parallel processing of segments. Our rule of thumb is `num_cores - 1`, which means that even under heavy load there will still be one core available to do background tasks like talking with ZooKeeper and pulling down segments. If only one core is available, this property defaults to the value `1`.|Number of cores - 1 (or 1)|
|`druid.processing.columnCache.sizeBytes`|Maximum size in bytes for the dimension value lookup cache. Any value greater than `0` enables the cache. It is currently disabled by default. Enabling the lookup cache can significantly improve the performance of aggregators operating on dimension values, such as the JavaScript aggregator, or cardinality aggregator, but can slow things down if the cache hit rate is low (i.e. dimensions with few repeating values). Enabling it may also require additional garbage collection tuning to avoid long GC pauses.|`0` (disabled)|
|`druid.processing.fifo`|If the processing queue should treat tasks of equal priority in a FIFO manner|`false`|
|`druid.processing.tmpDir`|Path where temporary files created while processing a query should be stored. If specified, this configuration takes priority over the default `java.io.tmpdir` path.|path represented by `java.io.tmpdir`|
The amount of direct memory needed by Druid is at least
`druid.processing.buffer.sizeBytes * (druid.processing.numMergeBuffers + druid.processing.numThreads + 1)`. You can
ensure at least this amount of direct memory is available by providing `-XX:MaxDirectMemorySize=<VALUE>` at the command
This section contains the configuration options for the processes that reside on Query servers (Brokers) in the suggested [three-server configuration](../design/processes.md#server-types).
|`druid.host`|The host for the current process. This is used to advertise the current processes location as reachable from another process and should generally be specified such that `http://${druid.host}/` could actually talk to this process|InetAddress.getLocalHost().getCanonicalHostName()|
|`druid.bindOnHost`|Indicating whether the process's internal jetty server bind on `druid.host`. Default is false, which means binding to all interfaces.|false|
|`druid.tlsPort`|TLS port for HTTPS connector, if [druid.enableTlsPort](../operations/tls-support.md) is set then this config will be used. If `druid.host` contains port then that port will be ignored. This should be a non-negative Integer.|8282|
|`druid.service`|The name of the service. This is used as a dimension when emitting metrics and alerts to differentiate between the various services|druid/broker|
|`druid.broker.balancer.type`|`random`, `connectionCount`|Determines how the broker balances connections to Historical processes. `random` choose randomly, `connectionCount` picks the process with the fewest number of active connections to|`random`|
|`druid.broker.select.tier`|`highestPriority`, `lowestPriority`, `custom`|If segments are cross-replicated across tiers in a cluster, you can tell the broker to prefer to select segments in a tier with a certain priority.|`highestPriority`|
|`druid.broker.select.tier.custom.priorities`|`An array of integer priorities.` E.g., `[-1, 0, 1, 2]`|Select servers in tiers with a custom priority list.|The config only has effect if `druid.broker.select.tier` is set to `custom`. If `druid.broker.select.tier` is set to `custom` but this config is not specified, the effect is the same as `druid.broker.select.tier` set to `highestPriority`. Any of the integers in this config can be ignored if there's no corresponding tiers with such priorities. Tiers with priorities explicitly specified in this config always have higher priority than those not and those not specified fall back to use `highestPriority` strategy among themselves.|
*Laning strategies* allow you to control capacity utilization for heterogeneous query workloads. With laning, the broker examines and classifies a query for the purpose of assigning it to a 'lane'. Lanes have capacity limits, enforced by the broker, that can be used to ensure sufficient resources are available for other lanes or for interactive queries (with no lane), or to limit overall throughput for queries within the lane. Requests in excess of the capacity are discarded with an HTTP 429 status code.
|`druid.query.scheduler.numThreads`|Maximum number of HTTP threads to dedicate to query processing. To save HTTP thread capacity, this should be lower than `druid.server.http.numThreads`, but it is worth noting that like `druid.server.http.enableRequestLimit` is set that query requests over this limit will be denied instead of waiting in the Jetty HTTP request queue.|Unbounded|
|`druid.query.scheduler.laning.strategy`|Query laning strategy to use to assign queries to a lane in order to control capacities for certain classes of queries.|`none`|
With this configuration, queries are never assigned a priority automatically, but will preserve a priority manually set on the [query context](../querying/query-context.md) with the `priority` key. This mode can be explicitly set by setting `druid.query.scheduler.prioritization.strategy` to `manual`.
This prioritization strategy lowers the priority of queries that cross any of a configurable set of thresholds, such as how far in the past the data is, how large of an interval a query covers, or the number of segments taking part in a query.
This strategy can be enabled by setting `druid.query.scheduler.prioritization.strategy` to `threshold`.
|Property|Description|Default|
|--------|-----------|-------|
|`druid.query.scheduler.prioritization.periodThreshold`|ISO duration threshold for how old data can be queried before automatically adjusting query priority.|None|
|`druid.query.scheduler.prioritization.durationThreshold`|ISO duration threshold for maximum duration a queries interval can span before the priority is automatically adjusted.|None|
|`druid.query.scheduler.prioritization.segmentCountThreshold`|Number threshold for maximum number of segments that can take part in a query before its priority is automatically adjusted.|None|
|`druid.query.scheduler.prioritization.adjustment`|Amount to reduce the priority of queries which cross any threshold.|None|
In this mode, queries are never assigned a lane, and the concurrent query count will only be limited by `druid.server.http.numThreads` or `druid.query.scheduler.numThreads`, if set. This is the default Druid query scheduler operating mode. Enable this strategy explicitly by setting `druid.query.scheduler.laning.strategy` to `none`.
###### 'High/Low' laning strategy
This laning strategy splits queries with a `priority` below zero into a `low` query lane, automatically. Queries with priority of zero (the default) or above are considered 'interactive'. The limit on `low` queries can be set to some desired percentage of the total capacity (or HTTP thread pool size), reserving capacity for interactive queries. Queries in the `low` lane are _not_ guaranteed their capacity, which may be consumed by interactive queries, but may use up to this limit if total capacity is available.
|`druid.query.scheduler.laning.maxLowPercent`|Maximum percent of the smaller number of `druid.server.http.numThreads` or `druid.query.scheduler.numThreads`, defining the number of HTTP threads that can be used by queries with a priority lower than 0. Value must be an integer in the range 1 to 100, and will be rounded up|No default, must be set if using this mode|
###### 'Manual' laning strategy
This laning strategy is best suited for cases where one or more external applications which query Druid are capable of manually deciding what lane a given query should belong to. Configured with a map of lane names to percent or exact max capacities, queries with a matching `lane` parameter in the [query context](../querying/query-context.md) will be subjected to those limits.
|`druid.query.scheduler.laning.lanes.{name}`|Maximum percent or exact limit of queries that can concurrently run in the defined lanes. Any number of lanes may be defined like this. The lane names 'total' and 'default' are reserved for internal use.|No default, must define at least one lane with a limit above 0. If `druid.query.scheduler.laning.isLimitPercent` is set to `true`, values must be integers in the range of 1 to 100.|
|`druid.query.scheduler.laning.isLimitPercent`|If set to `true`, the values set for `druid.query.scheduler.laning.lanes` will be treated as a percent of the smaller number of `druid.server.http.numThreads` or `druid.query.scheduler.numThreads`. Note that in this mode, these lane values across lanes are _not_ required to add up to, and can exceed, 100%.|`false`|
Druid uses Jetty to serve HTTP requests. Each query being processed consumes a single thread from `druid.server.http.numThreads`, so consider defining `druid.query.scheduler.numThreads` to a lower value in order to reserve HTTP threads for responding to health checks, lookup loading, and other non-query, and in most cases comparatively very short lived, HTTP requests.
|`druid.server.http.numThreads`|Number of threads for HTTP requests.|max(10, (Number of cores * 17) / 16 + 2) + 30|
|`druid.server.http.queueSize`|Size of the worker queue used by Jetty server to temporarily store incoming client connections. If this value is set and a request is rejected by jetty because queue is full then client would observe request failure with TCP connection being closed immediately with a completely empty response from server.|Unbounded|
|`druid.server.http.enableRequestLimit`|If enabled, no requests would be queued in jetty queue and "HTTP 429 Too Many Requests" error response would be sent. |false|
|`druid.server.http.defaultQueryTimeout`|Query timeout in millis, beyond which unfinished queries will be cancelled|300000|
|`druid.server.http.maxScatterGatherBytes`|Maximum number of bytes gathered from data processes such as Historicals and realtime processes to execute a query. Queries that exceed this limit will fail. This is an advance configuration that allows to protect in case Broker is under heavy load and not utilizing the data gathered in memory fast enough and leading to OOMs. This limit can be further reduced at query time using `maxScatterGatherBytes` in the context. Note that having large limit is not necessarily bad if broker is never under heavy concurrent load in which case data gathered is processed quickly and freeing up the memory used. Human-readable format is supported, see [here](human-readable-byte.md). |Long.MAX_VALUE|
|`druid.server.http.maxSubqueryRows`|Maximum number of rows from all subqueries per query. Druid stores the subquery rows in temporary tables that live in the Java heap. `druid.server.http.maxSubqueryRows` is a guardrail to prevent the system from exhausting available heap. When a subquery exceeds the row limit, Druid throws a resource limit exceeded exception: "Subquery generated results beyond maximum."<br><br>It is a good practice to avoid large subqueries in Druid. However, if you choose to raise the subquery row limit, you must also increase the heap size of all Brokers, Historicals, and task Peons that process data for the subqueries to accommodate the subquery results.<br><br>There is no formula to calculate the correct value. Trial and error is the best approach.|100000|
|`druid.server.http.gracefulShutdownTimeout`|The maximum amount of time Jetty waits after receiving shutdown signal. After this timeout the threads will be forcefully shutdown. This allows any queries that are executing to complete(Only values greater than zero are valid).|`PT30S`|
|`druid.server.http.unannouncePropagationDelay`|How long to wait for zookeeper unannouncements to propagate before shutting down Jetty. This is a minimum and `druid.server.http.gracefulShutdownTimeout` does not start counting down until after this period elapses.|`PT0S` (do not wait)|
|`druid.server.http.maxQueryTimeout`|Maximum allowed value (in milliseconds) for `timeout` parameter. See [query-context](../querying/query-context.md) to know more about `timeout`. Query is rejected if the query context `timeout` is greater than this value. |Long.MAX_VALUE|
|`druid.server.http.maxRequestHeaderSize`|Maximum size of a request header in bytes. Larger headers consume more memory and can make a server more vulnerable to denial of service attacks. |8 * 1024|
|`druid.broker.http.numConnections`|Size of connection pool for the Broker to connect to Historical and real-time processes. If there are more queries than this number that all need to speak to the same process, then they will queue up.|`20`|
|`druid.broker.http.eagerInitialization`|Indicates that http connections from Broker to Historical and Real-time processes should be eagerly initialized. If set to true, `numConnections` connections are created upon initialization|`true`|
|`druid.broker.http.compressionCodec`|Compression codec the Broker uses to communicate with Historical and real-time processes. May be "gzip" or "identity".|`gzip`|
|`druid.broker.http.readTimeout`|The timeout for data reads from Historical servers and real-time tasks.|`PT15M`|
|`druid.broker.http.unusedConnectionTimeout`|The timeout for idle connections in connection pool. The connection in the pool will be closed after this timeout and a new one will be established. This timeout should be less than `druid.broker.http.readTimeout`. Set this timeout = ~90% of `druid.broker.http.readTimeout`|`PT4M`|
|`druid.broker.http.maxQueuedBytes`|Maximum number of bytes queued per query before exerting backpressure on the channel to the data server. Similar to `druid.server.http.maxScatterGatherBytes`, except unlike that configuration, this one will trigger backpressure rather than query failure. Zero means disabled. Can be overridden by the ["maxQueuedBytes" query context parameter](../querying/query-context.md). Human-readable format is supported, see [here](human-readable-byte.md). |`0` (disabled)|
|`druid.processing.buffer.sizeBytes`|This specifies a buffer size (less than 2GiB) for the storage of intermediate results. The computation engine in both the Historical and Realtime processes will use a scratch buffer of this size to do all of their intermediate computations off-heap. Larger values allow for more aggregations in a single pass over the data while smaller values can require more passes depending on the query that is being executed. [Human-readable format](human-readable-byte.md) is supported.|auto (max 1GiB)|
|`druid.processing.buffer.poolCacheInitialCount`|initializes the number of buffers allocated on the intermediate results pool. Note that pool can create more buffers if necessary.|`0`|
|`druid.processing.buffer.poolCacheMaxCount`|processing buffer pool caches the buffers for later use, this is the maximum count cache will grow to. note that pool can create more buffers than it can cache if necessary.|Integer.MAX_VALUE|
|`druid.processing.numMergeBuffers`|The number of direct memory buffers available for merging query results. The buffers are sized by `druid.processing.buffer.sizeBytes`. This property is effectively a concurrency limit for queries that require merging buffers. If you are using any queries that require merge buffers (currently, just groupBy v2) then you should have at least two of these.|`max(2, druid.processing.numThreads / 4)`|
|`druid.processing.columnCache.sizeBytes`|Maximum size in bytes for the dimension value lookup cache. Any value greater than `0` enables the cache. It is currently disabled by default. Enabling the lookup cache can significantly improve the performance of aggregators operating on dimension values, such as the JavaScript aggregator, or cardinality aggregator, but can slow things down if the cache hit rate is low (i.e. dimensions with few repeating values). Enabling it may also require additional garbage collection tuning to avoid long GC pauses.|`0` (disabled)|
|`druid.processing.fifo`|If the processing queue should treat tasks of equal priority in a FIFO manner|`false`|
|`druid.processing.tmpDir`|Path where temporary files created while processing a query should be stored. If specified, this configuration takes priority over the default `java.io.tmpdir` path.|path represented by `java.io.tmpdir`|
|`druid.processing.merge.useParallelMergePool`|Enable automatic parallel merging for Brokers on a dedicated async ForkJoinPool. If `false`, instead merges will be done serially on the `HTTP` thread pool.|`true`|
|`druid.processing.merge.pool.parallelism`|Size of ForkJoinPool. Note that the default configuration assumes that the value returned by `Runtime.getRuntime().availableProcessors()` represents 2 hyper-threads per physical core, and multiplies this value by `0.75` in attempt to size `1.5` times the number of _physical_ cores.|`Runtime.getRuntime().availableProcessors() * 0.75` (rounded up)|
|`druid.processing.merge.pool.defaultMaxQueryParallelism`|Default maximum number of parallel merge tasks per query. Note that the default configuration assumes that the value returned by `Runtime.getRuntime().availableProcessors()` represents 2 hyper-threads per physical core, and multiplies this value by `0.5` in attempt to size to the number of _physical_ cores.|`Runtime.getRuntime().availableProcessors() * 0.5` (rounded up)|
|`druid.processing.merge.pool.awaitShutdownMillis`|Time to wait for merge ForkJoinPool tasks to complete before ungracefully stopping on process shutdown in milliseconds.|`60_000`|
|`druid.processing.merge.task.targetRunTimeMillis`|Ideal run-time of each ForkJoinPool merge task, before forking off a new task to continue merging sequences.|`100`|
|`druid.processing.merge.task.initialYieldNumRows`|Number of rows to yield per ForkJoinPool merge task, before forking off a new task to continue merging sequences.|`16384`|
|`druid.processing.merge.task.smallBatchNumRows`|Size of result batches to operate on in ForkJoinPool merge tasks.|`4096`|
The Broker generates queries internally. This configuration section describes how an operator can augment the configuration
of these queries.
As of now the only supported augmentation is overriding the default query context. This allows an operator the flexibility
to adjust it as they see fit. A common use of this configuration is to override the query priority of the cluster generated
queries in order to avoid running as a default priority of 0.
|Property|Description|Default|
|--------|-----------|-------|
|`druid.broker.internal.query.config.context`|A string formatted `key:value` map of a query context to add to internally generated broker queries.|null|
|`druid.sql.enable`|Whether to enable SQL at all, including background metadata fetching. If false, this overrides all other SQL-related properties and disables SQL metadata, serving, and planning completely.|true|
|`druid.sql.avatica.maxConnections`|Maximum number of open connections for the Avatica server. These are not HTTP connections, but are logical client connections that may span multiple HTTP connections.|25|
|`druid.sql.avatica.maxRowsPerFrame`|Maximum acceptable value for the JDBC client `Statement.setFetchSize` method. This setting determines the maximum number of rows that Druid will populate in a single 'fetch' for a JDBC `ResultSet`. Set this property to -1 to enforce no row limit on the server-side and potentially return the entire set of rows on the initial statement execution. If the JDBC client calls `Statement.setFetchSize` with a value other than -1, Druid uses the lesser value of the client-provided limit and `maxRowsPerFrame`. If `maxRowsPerFrame` is smaller than `minRowsPerFrame`, then the `ResultSet` size will be fixed. To handle queries that produce results with a large number of rows, you can increase value of `druid.sql.avatica.maxRowsPerFrame` to reduce the number of fetches required to completely transfer the result set.|5,000|
|`druid.sql.avatica.minRowsPerFrame`|Minimum acceptable value for the JDBC client `Statement.setFetchSize` method. The value for this property must greater than 0. If the JDBC client calls `Statement.setFetchSize` with a lesser value, Druid uses `minRowsPerFrame` instead. If `maxRowsPerFrame` is less than `minRowsPerFrame`, Druid uses the minimum value of the two. For handling queries which produce results with a large number of rows, you can increase this value to reduce the number of fetches required to completely transfer the result set.|100|
|`druid.sql.planner.maxTopNLimit`|Maximum threshold for a [TopN query](../querying/topnquery.md). Higher limits will be planned as [GroupBy queries](../querying/groupbyquery.md) instead.|100000|
|`druid.sql.planner.useGroupingSetForExactDistinct`|Only relevant when `useApproximateCountDistinct` is disabled. If set to true, exact distinct queries are re-written using grouping sets. Otherwise, exact distinct queries are re-written using joins. This should be set to true for group by query with multiple exact distinct aggregations. This flag can be overridden per query.|false|
|`druid.sql.planner.useApproximateTopN`|Whether to use approximate [TopN queries](../querying/topnquery.md) when a SQL query could be expressed as such. If false, exact [GroupBy queries](../querying/groupbyquery.md) will be used instead.|true|
|`druid.sql.planner.requireTimeCondition`|Whether to require SQL to have filter conditions on __time column so that all generated native queries will have user specified intervals. If true, all queries without filter condition on __time column will fail|false|
|`druid.sql.planner.sqlTimeZone`|Sets the default time zone for the server, which will affect how time functions and timestamp literals behave. Should be a time zone name like "America/Los_Angeles" or offset like "-08:00".|UTC|
|`druid.sql.planner.metadataSegmentCacheEnable`|Whether to keep a cache of published segments in broker. If true, broker polls coordinator in background to get segments from metadata store and maintains a local cache. If false, coordinator's REST API will be invoked when broker needs published segments info.|false|
|`druid.sql.planner.metadataSegmentPollPeriod`|How often to poll coordinator for published segments list if `druid.sql.planner.metadataSegmentCacheEnable` is set to true. Poll period is in milliseconds. |60000|
|`druid.sql.planner.authorizeSystemTablesDirectly`|If true, Druid authorizes queries against any of the system schema tables (`sys` in SQL) as `SYSTEM_TABLE` resources which require `READ` access, in addition to permissions based content filtering.|false|
|`druid.sql.planner.useNativeQueryExplain`|If true, `EXPLAIN PLAN FOR` will return the explain plan as a JSON representation of equivalent native query(s), else it will return the original version of explain plan generated by Calcite. It can be overridden per query with `useNativeQueryExplain` context key.|false|
|`druid.sql.planner.maxNumericInFilters`|Max limit for the amount of numeric values that can be compared for a string type dimension when the entire SQL WHERE clause of a query translates to an [OR](../querying/filters.md#or) of [Bound filter](../querying/filters.md#bound-filter). By default, Druid does not restrict the amount of numeric Bound Filters on String columns, although this situation may block other queries from running. Set this property to a smaller value to prevent Druid from running queries that have prohibitively long segment processing times. The optimal limit requires some trial and error; we recommend starting with 100. Users who submit a query that exceeds the limit of `maxNumericInFilters` should instead rewrite their queries to use strings in the `WHERE` clause instead of numbers. For example, `WHERE someString IN (‘123’, ‘456’)`. If this value is disabled, `maxNumericInFilters` set through query context is ignored.|`-1` (disabled)|
|`druid.sql.approxCountDistinct.function`|Implementation to use for the [`APPROX_COUNT_DISTINCT` function](../querying/sql-aggregations.md). Without extensions loaded, the only valid value is `APPROX_COUNT_DISTINCT_BUILTIN` (a HyperLogLog, or HLL, based implementation). If the [DataSketches extension](../development/extensions-core/datasketches-extension.md) is loaded, this can also be `APPROX_COUNT_DISTINCT_DS_HLL` (alternative HLL implementation) or `APPROX_COUNT_DISTINCT_DS_THETA`.<br><br>Theta sketches use significantly more memory than HLL sketches, so you should prefer one of the two HLL implementations.|APPROX_COUNT_DISTINCT_BUILTIN|
|`druid.broker.cache.cacheBulkMergeLimit`|positive integer or 0|Queries with more segments than this number will not attempt to fetch from cache at the broker level, leaving potential caching fetches (and cache result merging) to the Historicals|`Integer.MAX_VALUE`|
> Note: Even if cache is enabled, for [groupBy v2](../querying/groupbyquery.md#strategies) queries, both of non-result level cache and result level cache do not work on Brokers.
> See [Differences between v1 and v2](../querying/groupbyquery.md#differences-between-v1-and-v2) and [Query caching](../querying/caching.md) for more information.
|`druid.broker.segment.watchedTiers`|List of strings|The Broker watches segment announcements from processes that serve segments to build a cache to relate each process to the segments it serves. This configuration allows the Broker to only consider segments being served from a list of tiers. By default, Broker considers all tiers. This can be used to partition your dataSources in specific Historical tiers and configure brokers in partitions so that they are only queryable for specific dataSources. This config is mutually exclusive from `druid.broker.segment.ignoredTiers` and at most one of these can be configured on a Broker.|none|
|`druid.broker.segment.ignoredTiers`|List of strings|The Broker watches segment announcements from processes that serve segments to build a cache to relate each process to the segments it serves. This configuration allows the Broker to ignore the segments being served from a list of tiers. By default, Broker considers all tiers. This config is mutually exclusive from `druid.broker.segment.watchedTiers` and at most one of these can be configured on a Broker.|none|
|`druid.broker.segment.watchedDataSources`|List of strings|Broker watches the segment announcements from processes serving segments to build cache of which process is serving which segments, this configuration allows to only consider segments being served from a whitelist of dataSources. By default, Broker would consider all datasources. This can be used to configure brokers in partitions so that they are only queryable for specific dataSources.|none|
|`druid.broker.segment.watchRealtimeTasks`|Boolean|The Broker watches segment announcements from processes that serve segments to build a cache to relate each process to the segments it serves. When `watchRealtimeTasks` is true, the Broker watches for segment announcements from both Historicals and realtime processes. To configure a broker to exclude segments served by realtime processes, set `watchRealtimeTasks` to false. |true|
|`druid.broker.segment.awaitInitializationOnStart`|Boolean|Whether the Broker will wait for its view of segments to fully initialize before starting up. If set to 'true', the Broker's HTTP server will not start up, and the Broker will not announce itself as available, until the server view is initialized. See also `druid.sql.planner.awaitInitializationOnStart`, a related setting.|true|
|`druid.cache.type`|`local`, `memcached`, `hybrid`, `caffeine`|The type of cache to use for queries. See below of the configuration options for each cache type|`caffeine`|
The local cache is deprecated in favor of the Caffeine cache, and may be removed in a future version of Druid. The Caffeine cache affords significantly better performance and control over eviction behavior compared to `local` cache, and is recommended in any situation where you are using JRE 8u60 or higher.
A simple in-memory LRU cache. Local cache resides in JVM heap memory, so if you enable it, make sure you increase heap size accordingly.
|Property|Description|Default|
|--------|-----------|-------|
|`druid.cache.sizeInBytes`|Maximum cache size in bytes. Zero disables caching.|0|
|`druid.cache.initialSize`|Initial size of the hashtable backing the cache.|500000|
|`druid.cache.logEvictionCount`|If non-zero, log cache eviction every `logEvictionCount` items.|0|
#### Caffeine Cache
A highly performant local cache implementation for Druid based on [Caffeine](https://github.com/ben-manes/caffeine). Requires a JRE8u60 or higher if using `COMMON_FJP`.
##### Configuration
Below are the configuration options known to this module:
|`runtime.properties`|Description|Default|
|--------------------|-----------|-------|
|`druid.cache.type`| Set this to `caffeine` or leave out parameter|`caffeine`|
|`druid.cache.sizeInBytes`|The maximum size of the cache in bytes on heap. It can be configured as described in [here](human-readable-byte.md). |min(1GiB, Runtime.maxMemory / 10)|
|`druid.cache.expireAfter`|The time (in ms) after an access for which a cache entry may be expired|None (no time limit)|
|`druid.cache.cacheExecutorFactory`|The executor factory to use for Caffeine maintenance. One of `COMMON_FJP`, `SINGLE_THREAD`, or `SAME_THREAD`|ForkJoinPool common pool (`COMMON_FJP`)|
|`druid.cache.evictOnClose`|If a close of a namespace (ex: removing a segment from a process) should cause an eager eviction of associated cache values|`false`|
*`COMMON_FJP` (default) use the common ForkJoinPool. Should use with [JRE 8u60 or higher](https://github.com/apache/druid/pull/4810#issuecomment-329922810). Older versions of the JRE may have worse performance than newer JRE versions.
In addition to the normal cache metrics, the caffeine cache implementation also reports the following in both `total` and `delta`
|Metric|Description|Normal value|
|------|-----------|------------|
|`query/cache/caffeine/*/requests`|Count of hits or misses|hit + miss|
|`query/cache/caffeine/*/loadTime`|Length of time caffeine spends loading new values (unused feature)|0|
|`query/cache/caffeine/*/evictionBytes`|Size in bytes that have been evicted from the cache|Varies, should tune cache `sizeInBytes` so that `sizeInBytes`/`evictionBytes` is approximately the rate of cache churn you desire|
|`druid.cache.l1.type`|type of cache to use for L1 cache. See `druid.cache.type` configuration for valid types.|`caffeine`|
|`druid.cache.l2.type`|type of cache to use for L2 cache. See `druid.cache.type` configuration for valid types.|`caffeine`|
|`druid.cache.l1.*`|Any property valid for the given type of L1 cache can be set using this prefix. For instance, if you are using a `caffeine` L1 cache, specify `druid.cache.l1.sizeInBytes` to set its size.|defaults are the same as for the given cache type.|
|`druid.cache.useL2`|A boolean indicating whether to query L2 cache, if it's a miss in L1. It makes sense to configure this to `false` on Historical processes, if L2 is a remote cache like `memcached`, and this cache also used on brokers, because in this case if a query reached Historical it means that a broker didn't find corresponding results in the same remote cache, so a query to the remote cache from Historical is guaranteed to be a miss.|`true`|
|`druid.query.segmentMetadata.defaultHistory`|When no interval is specified in the query, use a default interval of defaultHistory before the end time of the most recent segment, specified in ISO8601 format. This property also controls the duration of the default interval used by GET /druid/v2/datasources/{dataSourceName} interactions for retrieving datasource dimensions/metrics.|P1W|
|`druid.query.segmentMetadata.defaultAnalysisTypes`|This can be used to set the Default Analysis Types for all segment metadata queries, this can be overridden when making the query|["cardinality", "interval", "minmax"]|
This section describes the configurations for groupBy queries. You can set the runtime properties in the `runtime.properties` file on Broker, Historical, and MiddleManager processes. You can set the query context parameters through the [query context](../querying/query-context.md).
|`druid.query.groupBy.maxSelectorDictionarySize`|Maximum amount of heap space (approximately) to use for per-segment string dictionaries. See [groupBy memory tuning and resource limits](../querying/groupbyquery.md#memory-tuning-and-resource-limits) for details.|100000000|
|`druid.query.groupBy.maxMergingDictionarySize`|Maximum amount of heap space (approximately) to use for per-query string dictionaries. When the dictionary exceeds this size, a spill to disk will be triggered. See [groupBy memory tuning and resource limits](../querying/groupbyquery.md#memory-tuning-and-resource-limits) for details.|100000000|
|`druid.query.groupBy.maxOnDiskStorage`|Maximum amount of disk space to use, per-query, for spilling result sets to disk when either the merging buffer or the dictionary fills up. Queries that exceed this limit will fail. Set to zero to disable disk spilling.|0 (disabled)|
|`druid.query.groupBy.singleThreaded`|Merge results using a single thread.|false|
Supported query contexts:
|Key|Description|
|---|-----------|
|`groupByStrategy`|Overrides the value of `druid.query.groupBy.defaultStrategy` for this query.|
|`groupByIsSingleThreaded`|Overrides the value of `druid.query.groupBy.singleThreaded` for this query.|
#### GroupBy v2 configurations
Supported runtime properties:
|Property|Description|Default|
|--------|-----------|-------|
|`druid.query.groupBy.bufferGrouperInitialBuckets`|Initial number of buckets in the off-heap hash table used for grouping results. Set to 0 to use a reasonable default (1024).|0|
|`druid.query.groupBy.bufferGrouperMaxLoadFactor`|Maximum load factor of the off-heap hash table used for grouping results. When the load factor exceeds this size, the table will be grown or spilled to disk. Set to 0 to use a reasonable default (0.7).|0|
|`druid.query.groupBy.forceHashAggregation`|Force to use hash-based aggregation.|false|
|`druid.query.groupBy.intermediateCombineDegree`|Number of intermediate processes combined together in the combining tree. Higher degrees will need less threads which might be helpful to improve the query performance by reducing the overhead of too many threads if the server has sufficiently powerful CPU cores.|8|
|`druid.query.groupBy.numParallelCombineThreads`|Hint for the number of parallel combining threads. This should be larger than 1 to turn on the parallel combining feature. The actual number of threads used for parallel combining is min(`druid.query.groupBy.numParallelCombineThreads`, `druid.processing.numThreads`).|1 (disabled)|
Supported query contexts:
|Key|Description|Default|
|---|-----------|-------|
|`bufferGrouperInitialBuckets`|Overrides the value of `druid.query.groupBy.bufferGrouperInitialBuckets` for this query.|None|
|`bufferGrouperMaxLoadFactor`|Overrides the value of `druid.query.groupBy.bufferGrouperMaxLoadFactor` for this query.|None|
|`forceHashAggregation`|Overrides the value of `druid.query.groupBy.forceHashAggregation`|None|
|`intermediateCombineDegree`|Overrides the value of `druid.query.groupBy.intermediateCombineDegree`|None|
|`numParallelCombineThreads`|Overrides the value of `druid.query.groupBy.numParallelCombineThreads`|None|
|`sortByDimsFirst`|Sort the results first by dimension values and then by timestamp.|false|
|`forceLimitPushDown`|When all fields in the orderby are part of the grouping key, the broker will push limit application down to the Historical processes. When the sorting order uses fields that are not in the grouping key, applying this optimization can result in approximate results with unknown accuracy, so this optimization is disabled by default in that case. Enabling this context flag turns on limit push down for limit/orderbys that contain non-grouping key columns.|false|
|`druid.query.groupBy.maxIntermediateRows`|Maximum number of intermediate rows for the per-segment grouping engine. This is a tuning parameter that does not impose a hard limit; rather, it potentially shifts merging work from the per-segment engine to the overall merging index. Queries that exceed this limit will not fail.|50000|
|`druid.query.groupBy.maxResults`|Maximum number of results. Queries that exceed this limit will fail.|500000|
|`maxIntermediateRows`|Ignored by groupBy v2. Can be used to lower the value of `druid.query.groupBy.maxIntermediateRows` for a groupBy v1 query.|None|
|`maxResults`|Ignored by groupBy v2. Can be used to lower the value of `druid.query.groupBy.maxResults` for a groupBy v1 query.|None|
|`useOffheap`|Ignored by groupBy v2, and no longer supported for groupBy v1. Enabling this option with groupBy v1 will result in an error. For off-heap aggregation, switch to groupBy v2, which always operates off-heap.|false|
|`druid.expressions.useStrictBooleans`|Controls the behavior of Druid boolean operators and functions, if set to `true` all boolean values will be either a `1` or `0`. See [expression documentation](../misc/math-expr.md#logical-operator-modes)|false|
|`druid.expressions.allowNestedArrays`|If enabled, Druid array expressions can create nested arrays. This is experimental and should be used with caution.|false|
|`druid.host`|The host for the current process. This is used to advertise the current processes location as reachable from another process and should generally be specified such that `http://${druid.host}/` could actually talk to this process|InetAddress.getLocalHost().getCanonicalHostName()|
|`druid.bindOnHost`|Indicating whether the process's internal jetty server bind on `druid.host`. Default is false, which means binding to all interfaces.|false|
|`druid.plaintextPort`|This is the port to actually listen on; unless port mapping is used, this will be the same port as is on `druid.host`|8888|
|`druid.tlsPort`|TLS port for HTTPS connector, if [druid.enableTlsPort](../operations/tls-support.md) is set then this config will be used. If `druid.host` contains port then that port will be ignored. This should be a non-negative Integer.|9088|
|`druid.service`|The name of the service. This is used as a dimension when emitting metrics and alerts to differentiate between the various services|druid/router|
|`druid.router.defaultBrokerServiceName`|The default Broker to connect to in case service discovery fails.|druid/broker|
|`druid.router.tierToBrokerMap`|Queries for a certain tier of data are routed to their appropriate Broker. This value should be an ordered JSON map of tiers to Broker names. The priority of Brokers is based on the ordering.|{"_default_tier": "<defaultBrokerServiceName>"}|
|`druid.router.defaultRule`|The default rule for all datasources.|"_default"|
|`druid.router.pollPeriod`|How often to poll for new rules.|PT1M|
|`druid.router.sql.enable`|Enable routing of SQL queries using strategies. When`true`, the Router uses the strategies defined in `druid.router.strategies` to determine the broker service for a given SQL query. When `false`, the Router uses the `defaultBrokerServiceName`.|`false`|
|`druid.router.strategies`|Please see [Router Strategies](../design/router.md#router-strategies) for details.|[{"type":"timeBoundary"},{"type":"priority"}]|
|`druid.router.avatica.balancer.type`|Class to use for balancing Avatica queries across Brokers. Please see [Avatica Query Balancing](../design/router.md#avatica-query-balancing).|rendezvousHash|
|`druid.router.managementProxy.enabled`|Enables the Router's [management proxy](../design/router.md#router-as-management-proxy) functionality.|false|
|`druid.router.http.numConnections`|Size of connection pool for the Router to connect to Broker processes. If there are more queries than this number that all need to speak to the same process, then they will queue up.|`20`|
|`druid.router.http.eagerInitialization`|Indicates that http connections from Router to Broker should be eagerly initialized. If set to true, `numConnections` connections are created upon initialization|`true`|
|`druid.router.http.readTimeout`|The timeout for data reads from Broker processes.|`PT15M`|
|`druid.router.http.numMaxThreads`|Maximum number of worker threads to handle HTTP requests and responses|`max(10, ((number of cores * 17) / 16 + 2) + 30)`|
|`druid.router.http.numRequestsQueued`|Maximum number of requests that may be queued to a destination|`1024`|
|`druid.router.http.requestBuffersize`|Size of the content buffer for receiving requests. These buffers are only used for active connections that have requests with bodies that will not fit within the header buffer|`8 * 1024`|
